GRPN Update: The Spring is Compressing 📈

The mechanical short squeeze thesis is playing out exactly as planned. As we push up, ballooning paper losses trigger automated broker margin calls, strict institutional risk stop-losses, and aggressive dynamic market-maker delta hedging in real-time long before the calendar expiration arrives.

The Plays for the Rest of the Week:

• The Floor ($15.00): This is our heavy physical baseline. The $15 strike is loaded with In-The-Money calls, forcing market makers to lock up millions of shares in their vaults to remain hedged. As long as we hold above $15, the supply vacuum is active.
• The Trigger Zone ($17.50–$17.72): This is the local daily resistance neckline we are actively testing.
• The Momentum Play: If we break and hold above $17.72 on a daily volume expansion exceeding 3.5 million shares, near-term out-of-the-money calls (targeting the $20.00 strike) will capture the maximum delta acceleration.
• The Launchpad ($20.00): This is the shorts' main defensive line. Because call open interest thins out significantly immediately after $20, forcing a daily print past this level leaves zero options liquidity resistance left to suppress a vertical squeeze.
• Price Action: Defending the right shoulder compression range beautifully at $17.41 (+2.84%). Bears successfully defended the $19.10 algorithmic wall yesterday, but they are running out of room.
• Volume Check: Sitting low at 1.2M shares. This proves we are still in the low-volume pinning phase. We still need that 8M+ share volume spike to trigger the gamma loop and blast past $22.50.
• Squeeze Mechanics:
  • Short Interest: Locked at a massive 56.8% of float.
  • Utilization: Maxed at 100% (zero borrow left).
  • Float Lock: Pod shop long-short pairing keeps loanability capped at 10% max.
  • Squeeze mechanics remain fully intact as long as the stock closes the week above the $16.49 structural stop-loss line.

TL;DR: The bear trap is set. The spring is fully compressed. We just need the volume spark to ignite the fuse. 🚀 Bottom line: The coiled spring is tight. Hold the $15 floor, watch the $17.72 breakout volume, and let the structural gamma loop do the heavy lifting.

This is not financial advise at all! I'm just a nerd.

GRPN coiling for a squeeze
57% shorted
5-11 days to cover
Cost cutting and debt stabilized
Hidden assets with stake in SumUp
If we get to $19 it’s easy to $39
Unusual option activity

Not financial advise, just interesting

I’m in already but looking at $19.10, $17.50, and dips down to 15.25. Next week will be nuts in my opinion.

Looking to scale back at $23, $32, and riding to $43

Algorithmic breakout programs and momentum scanners are heavily set to trigger buys at $19.10

$23.29 clears the neckline exposes liquidity vacuum.

$13.35 is the structural floor of the current pattern. For the bullish chart thesis to remain intact, the price must not print a daily close below this line in the sand.

MACD Lines are beginning to pinch tightly together just above the zero-line

The chart is intentionally being held down like a coiled spring just below the $19 trigger to accumulate cheap shares and trap late entering shorts. I bought in the tight compression on the right shoulder ($17-17.5) before momentum indicators trigger a broad-market breakout alert.

Chart setup:
simple moving at 50 tracks dynamic floor at 15.2
Volume profile in visible range displays point of control at $14.8 confirming institutional support
Momentum RSI set to 14 length to lower study slot. As long as it consolidates between 55 and 62 the stock is storing energy without being overbought.

This is some DD ive been doing on our baby fig for a week or so now and wanted to share my DD with yall, as I think re ratings for a plethora of names are coming soon.

THIS IS NOT ADVESMENT ADVICE... just one mans research into catalysts and ownership and a reaction the print.

Stock down -86% from $142 IPO to $20. Full sentiment washout. But the institutional ownership filings just dropped and what I’m seeing is wild.

The setup
• Q1 NRR 139% (existing customers spending 39% more — best-in-class SaaS)
• Revenue +41% YoY at $1B+ scale
• 82% gross margins, 22.5% FCF margin (real cash generation, not vibes)
• Zero debt, $400M cash
• Q2 guide BEAT consensus ($348-350M vs $329M)
• Stock +11.66% AH on the Q1 print
Now the part where the suits start chugging the Kool-Aid — Q4/Q1 institutional flows
• Wellington +189%, T. Rowe Price +1,354%, Citadel +135%
• Viking Global opened new 5.7M share position
• Two Sigma +607%, Jane Street +2,090%, IEQ Capital +1,670%
• Norges Bank (Norwegian sovereign wealth, aka actual government tendies) opened new position
• Top 20 institutions ate 97.7M shares in one quarter

Sooooo.....

Why this ownership picture matters more than the average DD post?

This isn’t a random mix of institutional buyers — look at who is showing up:

•	Quant funds going all-in — Two Sigma +607%, Jane Street +2,090%, IEQ +1,670%, Citadel +135%. These are systematic models flagging the same setup independently. When 4+ top quant shops simultaneously load up, their models are seeing the same dislocation. Not coordinated, just convergent.

•	Long-only blue chips conviction-sizing — Wellington, T. Rowe Price, Fidelity Contrafund (Will Danoff), Baron Focused Growth. These are 5-star, multi-decade-tenure PMs who don’t take starter positions. T. Rowe going +1,354% means they’re sizing this like a real position, not nibbling.

•	Sovereign wealth showing up — Norges Bank doesn’t chase momentum. They take 5-10 year views on quality at scale. A new position from them is a structural call, not a trade.

•	Behavioral/value funds layering in — FullerThaler Behavioral Small-Cap (Richard Thaler’s fund — THE behavioral finance Nobel laureate) is in. That fund literally screens for sentiment dislocations. FIG is showing up on their model.  

Compare to what’s NOT happening: no institutional selling. Vanguard Growth trimmed mechanically (-1.6M, rebalancing), ARK trimmed 128K (rounding error). That’s it. The “smart sellers” thesis doesn’t exist here.
The pattern this matches historically: HUBS in 2022, MNDY in 2023, SNOW in 2024. Post-IPO/post-crash SaaS where institutions accumulated during retail capitulation. All three rallied 80-150% over the following 12 months once sentiment turned.

Supply is locked
• Greylock 11% (FIG is 100% of their fund — they literally cannot sell without crashing it)
• Index Ventures 11% (60% of fund)
• Sequoia 4.8%
• Thrive Capital (Joshua Kushner) 0.83%
• ~28% of float trapped in VC hands not going anywhere

Pontial upcoming catalysts:

•	Q1 print already in the books (today) — 46% revenue growth, NRR 139%, AH +11.66% reaction confirms the inflection. Sentiment officially turning.

•	Q2 print in \~90 days — guidance already beat consensus, so even an in-line print = thesis intact. A beat-and-raise = next leg.

•	Figma Config 2026 (annual conference) — historically where they drop major AI product reveals. Last year’s Figma AI / Make announcements moved the stock. Expect more agentic / AI-native tooling drops.

•	AI monetization ramp — Figma AI seats and usage-based pricing started rolling out late 2025. Revenue impact shows up in Q2/Q3 prints. Hasn’t been priced in yet.

•	Enterprise expansion deals — NRR 139% means existing accounts going from team to org-wide. Multi-year contract conversions usually announced via earnings call commentary, not press release — watch for enterprise expansion language on the Q2 call.

•	First post-lockup quarter behavior — IPO insider lockups expired in Q1, and despite that overhang, institutions still accumulated. The “feared selling wave” already happened and got absorbed.

•	Adobe Q2 print (mid-June) — if Adobe   

disappoints on Creative Cloud AI integration, FIG gets the relative-strength bid. Pair trade setup.

•	Macro tailwind — SaaS sentiment is recovering broadly (DDOG, MDB, NOW all rerating). FIG hasn’t participated yet — that’s the catch-up trade.  

PT picuture
• Morningstar FV: $32.93 (+63%)
• TipRanks avg PT: $40.25 (+99%)
• LOWEST analyst PT is $30 — still +48% above current price
• 11 ratings: 3 Buy / 8 Hold / 0 Sell (Hold ratings have +100% implied upside, they just don’t have conviction yet.

Super interested to see what happens today a solid eanings but market futures seem wicked red as of the last time i looked. Happy friday people🤪

[ Removed by Reddit on account of violating the content policy. ]

Hey everyone, here's my DD on OUST, with everyone's eyes on it recently.

Rating: Speculative Buy

Market cap: $2.18B

Ouster ($OUST) jumped 26% after the market finally got the kind of setup it loves in this environment: a fresh NVIDIA-related catalyst, a clean Physical AI story, and a major breakout above the ~$30 level on heavy volume. The move was definitely helped by hype on X, but I don’t think this was just another random lidar spike.

https://preview.redd.it/warqtsb5711h1.png?width=1567&format=png&auto=webp&s=ebdce19626af689404b1d24f5718ca47f2b5ec38

Ouster now has a real catalyst, a stronger product cycle, accelerating revenue growth, and a stock chart that suddenly looks much more interesting.

https://preview.redd.it/t3ntdox6711h1.jpg?width=1600&format=pjpg&auto=webp&s=1091710362b87cf32d9dcb220d90065249b21156

Anyway, the key news came out yesterday: Ouster said its Rev8 OS digital lidar sensors are now compatible with NVIDIA DRIVE Hyperion, a platform used to help develop level 4 autonomous vehicles. After that headline hit, traders had more of a reason to care.

Ouster now has Rev8 tied to NVIDIA DRIVE Hyperion for autonomous vehicles, Rev8 integration across NVIDIA Jetson for robotics and edge AI, and a stronger Physical AI story after buying Stereolabs. In a speculative market where AI-adjacent names are working, that kind of setup can move fast.

Physical AI basically means AI moving from software into the real world. Instead of just chatbots or cloud software, think robots, self-driving vehicles, smart intersections, drones, industrial machines, warehouses, and equipment that needs to understand what’s around it before it can act. That’s where Ouster fits in.

The company makes lidar sensors, cameras, AI compute, and perception software. Lidar uses laser pulses to create a 3D map of the world, helping machines understand distance, shape, movement, and surroundings.

Ouster just reported strong Q1 growth, launched Rev8, expanded beyond lidar through Stereolabs, and now has two different NVIDIA-related angles investors can understand.

The numbers make the story more interesting. In Q1 2026, Ouster generated about $49 million of revenue, up 49% year over year. It shipped more than 12,600 sensors, including over 8,300 lidar sensors and over 4,300 camera sensors. GAAP gross margin was 43%, non-GAAP gross margin was 46%, and the company ended the quarter with $175 million in cash, cash equivalents, restricted cash, and short-term investments, with no debt.

https://preview.redd.it/uyadsqkb711h1.jpg?width=887&format=pjpg&auto=webp&s=922be8022a72acbaf50576a6510d6f03eaa413f8

Management also said this was Ouster’s 13th straight quarter of product revenue growth. Royalty revenue also wasn’t material in Q1, so the growth mostly came from selling actual products, not from a one-time licensing boost. That makes the quarter cleaner than it would be if the growth had been padded by unusual royalty revenue.

So the setup is pretty clear. Ouster isn’t a fake AI stock with no real business behind it. But it also isn’t cheap anymore. At a $34.17 share price and a $2.18 billion market cap, Ouster trades at about 10x 2026 consensus revenue estimate of $220.5 million. That multiple falls to about 7.4x 2027 revenue, and 5.4x 2028 revenue, if the company hits the estimates shown below.

https://preview.redd.it/zzj6a7n9711h1.png?width=456&format=png&auto=webp&s=d49ba8b077e9bc929d089b981d5d36e2ad2cd79c

Source: Seeking Alpha

Put simply, investors are already paying for a lot of future growth. The stock can still work if revenue keeps climbing quickly, but after this move, there isn’t much room for disappointment. If Rev8 adoption is slower than expected, if growth cools, or if profitability gets pushed further out, the valuation can become a problem fast.

That’s why I’d rate Ouster a Speculative Market Outperform (Buy rating), not a traditional medium or long-term Buy rating.

I think the stock can keep working in this market because the catalyst, chart, volume, and Physical AI story are all lined up. But this is still an unprofitable and cash-flow negative company, so I wouldn’t treat it like a proven long-term compounder yet.

https://preview.redd.it/gz8nmfpe711h1.png?width=541&format=png&auto=webp&s=2bbe305d1ab1c6bd658636f1fcc9a3593a3259e6

I can change my mind quickly on this one if things start drying up.

Source: Finbox

Treating Ouster As A Trade First

Ouster may become a much better business over time, but right now, the stock is mostly a momentum setup. The NVIDIA DRIVE Hyperion headline gave traders a catalyst. The reaction to that news helped the stock break above $30. The attention on X brought more eyes to the name. And the fundamentals are good enough to make the story feel real instead of completely empty.

That’s the kind of setup that can keep running, especially in this market cycle.

People need to stop underestimating market cycles. Sometimes, certain types of stocks work better than others.

Speculation is working right now.

Smaller AI-related names, robotics plays, infrastructure-adjacent companies, and high-growth tech stocks can move quickly when the chart, volume, and story line up.

Sometimes the market rewards patience and valuation discipline. Other times, it rewards speed, momentum, and being early to a story that other traders are just starting to notice.

Ouster fits the second bucket right now.

For me, the fundamentals are not enough to make this a long-term core holding yet.

If you’re an OUST bull reading this, don’t shoot me please.

The company still has to prove that Rev8 adoption can turn into sustained revenue growth and real profitability.

Instead, the fundamentals are more useful for judging how much fuel the momentum story has.

If estimates start moving higher because Rev8 demand is stronger than expected, the story gets more fuel. If volume stays strong and the stock keeps holding the breakout, the trade can keep working. But I wouldn’t stubbornly hold a large position in an unprofitable company just because the long-term story sounds exciting.

I’ve been in the market for a long time, and I’ve heard many “exciting” stories that don’t play out.

3D printing, EVs, SPACs, weed stocks. You name it.

That’s why the prior breakout area is important. If the stock loses the high-$20s, near where it was before the breakout, the setup gets weaker. A stop-loss around that area (under $28 ish for now) can make sense for someone treating this as a momentum trade instead of a long-term investment.

https://preview.redd.it/lnpqgj4h711h1.png?width=1567&format=png&auto=webp&s=5f4fd32be88fbaa8a7d000b1cb2e5a72f14ded0f

Looking further out, the chart is interesting because it’s been consolidating for some time now and can make another swing high if momentum stays. The next target would be $50 if it breaks the most recent swing high of about $42.

https://preview.redd.it/uff3gkbi711h1.png?width=1567&format=png&auto=webp&s=00029ee58886950253c8799d20a24c368395ffea

Let’s Look More Into The Catalysts

The direct catalyst was the NVIDIA DRIVE Hyperion news. Ouster said its Rev8 OS sensors are qualified to run on NVIDIA DRIVE Hyperion, which is designed to help developers build and deploy level 4 autonomous vehicles.

Level 4 autonomy means a vehicle can drive itself in certain areas or conditions without needing a human to take over. It doesn’t mean every car can drive itself everywhere, but it’s still an advanced form of autonomy. Robotaxis, autonomous trucks, and self-driving shuttles are the types of markets investors usually think about when they hear level 4 autonomy.

That’s why investors reacted to the headline. Rev8 is now tied more directly to autonomous driving and robotaxi development. That gives the market a simple way to understand the story: if autonomous vehicles need better sensors, and Ouster’s sensors can work inside NVIDIA’s autonomous-driving development platform, Ouster could have a more relevant role in that ecosystem.

The key point is that Ouster isn’t just saying Rev8 is a better sensor by itself. The company says its sensors have optimized plugins for NVIDIA DriveWorks SDK. In plain English, that means developers can feed Ouster’s 3D sensor data directly into NVIDIA’s software tools more easily. Developers don’t just want good hardware. They want hardware that fits into the systems they’re already building with.

But this doesn’t mean NVIDIA has picked Ouster as the winner. It doesn’t guarantee huge revenue. What it does is make the autonomous vehicle angle more credible. Ouster is positioning Rev8 inside a development ecosystem used for level 4 autonomy, and the market clearly liked that.

Why The NVIDIA Story Goes Beyond Autonomous Driving

The DRIVE Hyperion news was the more obvious reason for the recent move, but it isn’t the only NVIDIA-related angle. Ouster also announced Rev8 integration across NVIDIA Jetson, with support across NVIDIA JetPack, Isaac Sim, Jetson AGX Orin, and Thor.

Basically, NVIDIA Jetson is a family of computing platforms used in robots, drones, cameras, industrial machines, and other edge AI systems. Edge AI means the AI processing happens close to the machine itself instead of sending everything to a cloud data center. For example, a warehouse robot needs to react quickly. It can’t always wait for data to travel back and forth from the cloud.

So Jetson supports the robotics and edge AI side of the story. DRIVE Hyperion supports the autonomous vehicle side. Together, they give Ouster two different NVIDIA-related narratives. One is about robots and machines. The other is about autonomous vehicles.

This shouldn’t be overhyped. Ouster being compatible with NVIDIA platforms doesn’t just turn it into a massive winner. But it can reduce friction for developers and customers. It also gives investors a cleaner way to understand the company. Ouster isn’t just selling lidar sensors. It’s trying to become part of the perception stack for machines that need to sense and act in the real world.

What Rev8 Actually Does

Rev8 is the center of the story. Ouster calls it the world’s first native color lidar. That basically means the sensor combines 3D lidar data and color directly on silicon.

https://preview.redd.it/s6mximqj711h1.jpg?width=884&format=pjpg&auto=webp&s=ea27ccc902dd0d2e000d47cf475b67a200e4814c

Normal lidar can tell a machine the shape and distance of objects around it. Rev8 is trying to add more visual context to that 3D data. That means it’s not just helping a machine know that something is in front of it. It can help the machine better understand what it’s looking at.

That could be useful because machines don’t just need to detect objects. They need context. They need to understand signs, brake lights, road surfaces, object boundaries, textures, distance, movement, and depth. A self-driving system doesn’t just need to know a car is nearby. It may also need to understand whether brake lights are on, where the lane markings are, or how far away a small object is.

That’s why native color lidar could be useful. It’s not just about prettier point clouds. A point cloud is basically a 3D map made up of millions of data points. If those data points include better color and depth information, machines may get richer data to train on and operate with.

The specs are strong enough to support the excitement. The flagship OS1 Max offers 256 channels of high-definition sensing, up to 500 meters of range, and a 45-degree vertical field of view. In simple terms, that means it can capture a lot of detail, see far, and cover a wider vertical area. Rev8 is also auto-grade, cybersecure, and designed for functional safety certifications like ASIL-B, SIL-2, and PLd.

Those safety certifications are important because Ouster is trying to sell into serious industrial and automotive markets. If a sensor is going to help a vehicle, robot, or machine make decisions in the real world, customers need reliability and safety standards. It can’t just be a cool demo product.

Ouster also says Rev8 was designed to be more affordable and more scalable than Rev7, with a planned 10-year production life. That’s a big part of the bull case. A breakthrough sensor isn’t enough if it’s too expensive, too hard to deploy, or too difficult to integrate. Ouster needs Rev8 to scale into real commercial programs.

Management also said dozens of companies across industrial, robotics, automotive, and smart infrastructure markets intend to adopt Rev8 OS sensors. The list included names like Google, Volvo Autonomous Solutions, Liebherr, Epiroc, Field AI, Skydio, PlusAI, Bedrock, Seegrid, Gecko Robotics, Cyngn, and others.

https://preview.redd.it/b9l9kp7l711h1.jpg?width=883&format=pjpg&auto=webp&s=3e1aa3541b06c7c0dea939808c1d11e4c55461c0

That doesn’t guarantee revenue from all of them. “Intend to adopt” is not the same as “signed massive contract.” But it does show Rev8 isn’t launching into silence. There’s already customer interest across multiple end markets.

Why Ouster Is No Longer Just A Lidar Company

The Stereolabs acquisition is another reason the story has changed. Ouster acquired Stereolabs in February, adding AI camera vision, stereo cameras, edge compute, and perception software. In Q1, Stereolabs contributed about seven weeks of revenue and helped push camera shipments above 4,300 units.

This doesn’t transform the company overnight, but it changes what Ouster is trying to become. The company isn’t trying to be just a lidar supplier anymore. It’s trying to offer a fuller perception stack that includes lidar, cameras, AI compute, sensor fusion, perception software, and AI models.

A perception stack just means the full set of tools a machine uses to understand the world around it. Lidar can provide depth and structure. Cameras can provide visual information. Compute can process the data. Software can turn that data into decisions or useful insights.

That’s a better story because pure hardware businesses can be fragile. If you only sell one type of sensor, customers may switch suppliers, competitors may copy features, and pricing can come under pressure. A broader platform can become more valuable if it reduces integration headaches and gives customers better unified data.

This is where the Physical AI thesis makes sense. Machines need multiple ways to understand the real world. Ouster is trying to combine those pieces instead of selling one piece in isolation.

That’s much more interesting than standalone lidar.

Where Ouster Is Already Seeing Demand

The commercial side is stronger than the typical lidar hype story. Ouster said its lidar business grew about 44% year over year, helped by industrial demand. The company pointed to several large industrial automation deals, including an expanded long-term relationship with a European industrial company for port automation and a deal with an autonomous earthmoving company tied to a U.S. Department of Defense project.

This shows Ouster isn’t only relying on future robotaxi dreams. Industrial automation is already happening. Port automation is already happening. Heavy equipment autonomy is already happening. These are markets where better sensing can solve real problems today.

For example, a port can use sensors to help automate the movement of containers and equipment. A construction or mining machine can use sensors to understand its surroundings. A smart traffic system can use sensors to detect vehicles, pedestrians, and traffic flow. These are practical uses, not just futuristic investor-deck ideas.

Smart infrastructure also deserves attention. Ouster BlueCity now has more than 700 contracted site deployments across intersections, mid-blocks, and highways. The company also expanded BlueCity with the Georgia Department of Transportation for more than 30 intersections across the Greater Atlanta area ahead of the FIFA World Cup. Ouster Gemini is operating at more than 550 sites globally.

BlueCity is Ouster’s traffic management solution. In simple terms, it helps cities use lidar and software to monitor and manage traffic more intelligently. Ouster Gemini is used for security, monitoring, and awareness across physical sites. These aren’t as exciting as robotaxis, but they may be more grounded.

Cities and transportation departments move slowly, but once they adopt a system and expand it, the revenue can become stickier than investors expect. That gives Ouster a practical base of demand instead of relying only on futuristic markets.

That’s one of the biggest reasons I don’t think the move is pure hype. Ouster has current revenue, current deployments, current customers, and real end markets. The future still has to be proven, but the company isn’t starting from zero.

The Valuation Already Prices In A Lot Of Growth

The valuation is the main pushback. At $34.17 per share and a $2.18 billion market cap, Ouster trades at about 10x 2026 revenue. That’s not crazy for a fast-growing AI and robotics-adjacent company, but it’s not cheap either.

However, the stock doesn’t need to look cheap on current numbers if the company grows fast enough.

But that’s also the risk. Investors aren’t paying for Ouster as it exists today. They’re paying for Rev8 adoption, Stereolabs integration, continued smart infrastructure growth, industrial demand, NVIDIA ecosystem relevance, and a path to profitability. If any of those pieces disappoint, the multiple can contract quickly.

Earnings don’t help much yet either. Consensus expects Ouster to lose about $0.30 per share in 2026 and earn only around $0.03 per share in 2027. That means this is still a revenue growth and operating leverage story.

https://preview.redd.it/mv779r5o711h1.png?width=883&format=png&auto=webp&s=edbb94d1e5ed95b54972aa33597197bd8f9c2814

Ouster is also still cash-flow negative. Based on the data shown, its latest twelve-month free cash flow was about negative $69 million. The good news is that the company had $175 million of cash as of Q1 and no debt, so it has room to execute. It also launched a $100M ATM offering just a few days ago. It has a few years of runway at the current cash burn rate, but this is still not a self-funding compounder yet.

Management’s long-term framework is 30% to 50% annual revenue growth, 35% to 40% GAAP gross margin, and controlled operating expense growth. The company is also working toward positive operating free cash flow and profitability.

https://preview.redd.it/72vgmnmp711h1.jpg?width=892&format=pjpg&auto=webp&s=918bfa9c9fb639cf6b35414d8f66774064f86d62

That gives us something to work with. But Ouster still has to prove it.

What Could Make The Bull Case Work

To recap:

The bull case is that Ouster is moving from “lidar company” to “Physical AI perception platform.”

That’s a much better category. If machines are going to operate more intelligently in the physical world, they need better perception. Ouster now has lidar, cameras, AI compute, perception software, sensor fusion, smart infrastructure solutions, and NVIDIA ecosystem compatibility. That gives the company a much more complete story than it had before.

Rev8 is the product catalyst. Stereolabs broadens the platform. BlueCity and Gemini give the company real infrastructure traction. Industrial automation gives it practical enterprise demand. Jetson strengthens the robotics angle. DRIVE Hyperion strengthens the autonomous vehicle angle. The Q1 numbers show the company is already growing. The breakout shows the market finally cares.

That’s why the stock can keep working.

What Could Go Wrong

The risk is that investors start treating a momentum trade like a guaranteed long-term investment.

Ouster doesn’t have a fortress moat (a durable competitive advantage that protects a company from competitors). Think network effects, high switching costs, patents that are hard to get around, or a brand that customers trust so much they won’t leave. Ouster has differentiated technology, a better product cycle, growing commercial traction, and a broader platform after Stereolabs. That’s good, but it’s not the same as being untouchable like a Visa or Mastercard.

Customers still have alternatives. Competitors still exist. Pricing still counts. Product launches still need to convert into volume. And the company still needs to prove that revenue growth can turn into durable profitability.

The lidar industry has also burned investors before. There have been too many huge TAM (total addressable market) stories, too many investor decks, and not enough profitable businesses. A big TAM sounds exciting, but it doesn’t automatically mean one company will capture it profitably.

Ouster looks better positioned than many of those old lidar names, but investors shouldn’t ignore the industry’s history.

The NVIDIA headlines are another risk if people overread them. Remember, Jetson integration and DRIVE Hyperion qualification don’t automatically mean massive revenue is coming. They improve Ouster’s ecosystem positioning. They don’t replace the need for actual customer adoption and financial execution.

The Takeaway On OUST Stock

I don’t think Ouster is just another lidar pump. The stock moved because the market had a real catalyst to grab onto: NVIDIA DRIVE Hyperion compatibility, Rev8 momentum, a cleaner Physical AI story, strong Q1 growth, and a breakout above a key technical level. X hype helped amplify the move, but the story wasn’t empty.

That said, I’m treating this as a speculative buy, not a traditional long-term Buy. Ouster is still unprofitable, cash-flow negative, and trading around 10x 2026 revenue, so the stock needs continued execution. If the chart, volume, catalyst, and story keep working together, the trade can keep working. If momentum dries up, I’d treat it very differently.

Disclosure: I have a small position in OUST stock from around $31.50, and this is just my personal opinion, not professional advice.

Not financial advice.

Why Cerebras (CBRS) IPO is a big deal — trades tomorrow on Nasdaq:

• Priced at $185/share tonight, ABOVE the raised range — raised $5.55 billion
• Now worth ~$56 billion (biggest IPO of 2026 so far)
• Order book was 20x oversubscribed — insane demand
• Makes a giant AI chip the size of a dinner plate — 58x bigger than Nvidia's top chip
• Claims up to 15x faster than Nvidia for running AI (1,000x in some cases)
• $20 BILLION deal with OpenAI
• Partnership with Amazon Web Services
• Sam Altman, Greg Brockman & Ilya Sutskever personally own shares
• Revenue up 76% last year, actually profitable
• Plays the "inference" wave — where AI is shifting now

Hottest IPO so far this year, AI chip darling, backed by the OpenAI crew. Watch CBRS tomorrow.

As title says. Work has picked up so I can’t day trade any more, need safe(ish) stocks which will increase well over the coming months years. If anyone has some advice it would be appreciated.

I’m currently in CLNN SOUN and RUM and around 10% down. Looking to cut my losses today and invest roughly £5/£6k into stocks I don’t need to check every 5 minutes.

Thanks!

I think ServiceNow, Inc. (NOW) is getting caught in the broader “SaaS is dead” narrative and Wall Street may be overlooking what the company is actually becoming.

Right now the market seems obsessed with the idea that AI will destroy traditional SaaS companies:

• fewer employees = fewer software seats
• AI agents replace workflows
• cheaper AI-native competitors appear overnight
• enterprise software margins compress

And honestly, I understand the fear. A lot of SaaS companies probably *will* get disrupted.

But I think the market may be lumping NOW into the wrong category.

Most people still think of ServiceNow as:

“enterprise ticketing software.”

But increasingly it looks more like:

an operating layer for enterprise AI workflows.

The key thing I think investors are missing is that AI inside enterprises creates *more orchestration complexity*, not less.

Large companies still need:
• governance
• permissions
• workflow automation
• compliance
• approvals
• audit trails
• cross-platform integrations
• data coordination between departments

AI agents don’t magically eliminate those problems — in many ways they make them more important.

That’s where NOW seems uniquely positioned.

The company already sits deeply embedded inside enterprise operations:
• IT
• HR
• customer service
• security
• procurement
• operations workflows

Once those systems are integrated, switching costs become enormous. The platform becomes part of the company’s operational infrastructure, not just another software subscription. Several investors and analysts have highlighted this “process entrenchment” and high switching-cost moat recently.

What’s interesting is the stock has been heavily derated anyway because of broader AI/SaaS fear.
Despite strong AI product growth, raised guidance, and expanding AI offerings, NOW has sold off dramatically from prior highs amid worries that AI could compress traditional SaaS economics.

But the bear case may actually be creating the opportunity.

The market seems to be pricing NOW like:
• a mature SaaS company,
• with slowing growth,
• vulnerable to AI disruption.

Meanwhile the bull case is that NOW becomes:
• the orchestration layer,
• governance layer,
• and workflow control system
for enterprise AI adoption.

That’s a very different valuation framework.
I’m not saying it’s risk-free. Valuation is still premium relative to many software names and AI disruption risk is real. Even bulls admit the stock has historically traded at aggressive multiples.

But I think there’s a real possibility Wall Street is underestimating how valuable workflow ownership becomes in an AI-driven enterprise environment.
Curious what others think:

Is NOW a future AI infrastructure winner?
Or is this still just an overvalued SaaS company being disrupted in slow motion?

Do u guys think the memory industry is bound to have a correction or keep going?

still a good time to buy into dram, or soxx?

Tryna avoid fomo hahah

Mine is definitely Palantir Technologies Inc. (PLTR).
I bought around $7 and sold around $40. At the time, I genuinely thought I was making the smart/rational decision.

The stock had already run massively, valuation metrics looked insane, dilution was a huge concern, and honestly I didn’t fully understand the business the way I thought I did.

A lot of it sounded abstract:

AI operating systems

ontology

data fusion

government/intelligence software

enterprise decision platforms

Back then it felt like the market was pricing in perfection for what many people viewed as “basically a government contractor.”

I also think I evaluated it too much on current fundamentals and not enough on future positioning. I didn’t fully foresee how important AI infrastructure, military AI, and enterprise AI deployment would become over the next few years.

At the time, locking in a 5x+ gain felt responsible. Now looking back, I realize there’s a difference between:

a stock being overhyped
vs
a company where the market still hasn’t fully grasped the long-term optionality.

Curious what stock others sold early that still bothers them a little — and more importantly, why you sold it at the time. Did your thesis actually change, or did the stock simply become something bigger than you originally understood?

$FLWS is now highest SI stock at 85% in entire market higher than $car $hims $htz $onds $eose $clsk $soun $grpn or any other stock you can think of

flws si started at 50% and now has ballooned to 85% it keeps going up daily

it just got another upgrade on Friday too

if retail unites here they this can go from $4 to $40

$39 was it’s all time high during the last crazy ran it experienced