u/dead_from_inside_

I work full-time. Pretending I could manually day trade was my biggest mistake.

i finally admitted something that should have been obvious: I cannot work a full-time job and manually day trade like someone who sits in front of screens all day.

I was checking charts between meetings, entering late, missing exits, revenge trading after work, and calling it “discipline” when it was really just exhaustion with candles on top.

The worst version of this was trying to manually follow other people’s trade ideas form social media. By the time I saw the setup, checked the chart, sized the trade, and entered from my phone, I wasn't copying the idea anymore. I was buying the leftover risk.

So I stopped asking 'who has the best calls?' and started asking 'can I define the risk BEFORE the trade exists?'

This led me to test structured copy trading again, but with a different mindset. I’m not letting some random trader run my whole account. If I test someone on bydfi, they get put in a box. I give them a fixed allocation with isolated exposure, and I set the stop-loss ratio and max copy cap myself. If they blow up inside that box, that is tuition. If they can blow up the whole account, that is my fault.

It hasn't made me a millionaire, but it has stopped me from making stupid, exhausted decisions from my phone.

i don't sort by ROI first anymore. A high win rate with no drawdown context is a trap. I care more about the worst loss, average loss, and whether the trader actually closes losers or just hides them. I also look at whether all their gains came from one clean trend, because I want to know what happens when the market chops.

For me, copy trading isn't passive income. its renting someone else’s screen time while I keep my own risk limits. Remove those limits and you're just outsourcing the blowup.

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u/dead_from_inside_ — 1 day ago

What’s the best Instagram profile viewer if you want to stay anonymous?

Does anyone even use a profile viewer on Instagram that still works consistently?

I used to just check public profiles, but lately Instagram has been constantly forcing me to log in or limiting what I can see after a few clicks. I've tried a few random viewing sites and most of them either spammed me with ads or stopped uploading stories altogether.

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u/dead_from_inside_ — 1 day ago

The information deficit: Why standard video analytics are failing your strategy

Two years into serious content creation, the sheer lack of consistency was driving me crazy. It wasn’t my hooks, my editing style, or my posting schedule those variables had been locked in and optimized. The frustrating part was that the vast majority of my short-form videos would just die completely at the 200–300 view mark, and I had absolutely no way of identifying what was killing them before it was too late.

The mistake I made for a long time was building my entire strategy on standard, native platform analytics. Metrics like average watch time and engagement rates have a massive fundamental flaw: they only show you a post-mortem layout of what happened after your content has already died or gone viral. By the time you review that data to improve your social media distribution, the window to diagnose the exact creative friction point is completely gone.

To fix this, I stopped looking at overall metrics and started hyper-focusing on the first 10 seconds, looking at micro-retention patterns of outliers versus flops. It became incredibly clear that a very specific 5-to-7 second window dictates whether the algorithm pushes your video out. If you aren't maintaining at least a 70% retention rate through those first 7 seconds, alongside a high rewatch rate, distribution dies.

The shift in my workflow was immediate. Instead of guessing blindly, I could finally see the precise creative errors causing viewer drop-off. I wasn’t looking at a vague ""40% retention"" metric anymore; I was seeing things like, ""The audience left at exactly 5.5 seconds because the visual frame remained static for too long.""

Fixing these pacing issues before hitting publish has completely changed my channel's trajectory. It’s a compounding process that prevents you from pushing out dead content. If your technical editing is strong but your views are low, you don't have a content problem you have a data problem.

EDIT: For everyone asking in the DMs what tool I’m using for these pre-upload frame checks, it's this app.

u/dead_from_inside_ — 5 days ago

Thoughts on blur india makeup + perfumes ?

I recently came across this brand blur and their products, especially perfumes and solid perfumes really stood out to me. Curious if anyone has tried their vanilla melts perfume or the honey lip oil? I've been eyeing both. Honest reviews appreciated.

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u/dead_from_inside_ — 6 days ago

Best software development companies in Europe right now?

I’m currently in the process of vetting potential tech partners to help us build out a complex mobile banking module, and I’m feeling pretty overwhelmed by the sheer volume of options. We’ve looked at local agencies here, but the costs are astronomical and the lead times for starting a project are just not feasible for our current roadmap. Because we need to maintain a high level of code quality while keeping an eye on our burn rate, I’ve decided to focus our search on software development companies in Europe that can offer a better balance of talent and cost.

The main challenge is that every agency’s website looks identical—they all claim to be "top-rated" and "agile experts." I’ve had bad experiences in the past where we hired a firm that looked great on paper, but the actual developers were junior-level and required constant hand-holding. We are looking for a team that can actually take ownership of the technical architecture and work as an extension of our core team.

And here is what I am interested in:

- When looking at software development companies in Europe, how do you verify if the senior talent they promise is actually the team working on your code?

- Is there a noticeable difference in the engineering culture between different regions in 2026?

- What are the common red flags you’ve encountered during the initial "discovery phase" with an external agency?

- How do these firms usually handle intellectual property and data security compliance (GDPR) for sensitive projects?

- Is it better to go for a massive firm with thousands of employees or a boutique shop that specializes in a specific niche?

- What does a "fair" hourly rate for a Senior Dev look like these days without getting ripped off?

I’m really looking for some "boots on the ground" advice. If you’ve partnered with an agency recently that actually delivered what they promised without the usual project management drama, I’d love to hear how you found them

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u/dead_from_inside_ — 6 days ago

Raw exchange volume is the wrong metric to trust on its own

I’ve been looking at exchange-ranking data recently, and the thing I keep coming back to is simple:

Raw 24h exchange volume is a bad standalone metric.

That doesn’t mean exchange rankings are useless. It means reported volume needs context.

The questions I care about are:

Does reported volume line up with visible liquidity?

Does the order book look deep enough for the claimed activity?

Does the venue have real user traffic?

Do the most active pairs look natural, or do they look mechanical?

If I tried to route size there, would the book behave anything like the ranking suggests?

This is where current ranking systems are more useful than old raw-volume tables.

CMC is one example. Its current exchange-ranking methodology does not rank venues only by self-reported 24h volume. It uses traffic, liquidity, trading volume, confidence in the legitimacy of reported volume, and qualitative factors. At the market-pair level, CMC also uses reported volume, Liquidity Score and Web Traffic Factor as ranking inputs, with a Confidence Indicator that labels markets as High, Moderate or Low confidence.

That still doesn’t make CMC “truth.” I wouldn’t treat any aggregator that way. But it’s a lot more useful than a plain volume table, because at least you’re getting liquidity, traffic and confidence signals in the same view.

The way I’d use it:

  1. Reported volume is an input, not the answer. High volume with weak liquidity or weak traffic is a red flag.

  2. Confidence labels are filters, not proof. High confidence doesn’t mean clean. Low confidence means be careful.

  3. Liquidity matters more than rank position. A top-ranked exchange still needs a book that can actually handle your size.

  4. On-chain flows are useful, but limited. Exchange-wallet deposits and withdrawals can sanity-check activity, but they are not the same as centralized exchange trading volume. Most CEX trading settles internally.

  5. Long-tail exchanges deserve extra skepticism. The smaller the venue, the noisier the traffic and liquidity signals can get.

  6. Execution still requires checking the book. Rankings are useful for discovery. They are not a substitute for spreads, depth, slippage, and actual routing tests.

My current view is:

Raw volume is noisy. Rankings that include liquidity, traffic and confidence signals are useful filters. None of them replace due diligence.

For practical use, I’d use CMC exchange rankings as a first-pass filter, then verify the venue with order-book depth, spread behaviour, market-pair quality and, where possible, exchange-wallet flow context.

The biggest mistake is treating any aggregator ranking as final truth. The second biggest mistake is dismissing every ranking because raw volume used to be worse.

The data is better than it was, but it still needs to be used carefully.

Sources:

- CMC exchange rankings: https://coinmarketcap.com/rankings/exchanges/

- CMC exchange ranking methodology: https://support.coinmarketcap.com/hc/en-us/articles/360052030111-Exchange-Ranking

- CMC market-pair ranking and Confidence Indicator: https://support.coinmarketcap.com/hc/en-us/articles/360043675052-Market-Pair-Ranking-Confidence-Indicator

- CMC Liquidity Score: https://support.coinmarketcap.com/hc/en-us/articles/360043836931-Liquidity-Score-Market-Pair-Exchange

Curious how others here sanity-check exchange rankings. Do you use rankings as filters, or do you mostly ignore aggregator data and go straight to the order book?

u/dead_from_inside_ — 8 days ago

How to Choose the Best SEO Agency for Your Business in 2026

I’ve worked with a few SEO agencies over the years - some great, some… not even close. And honestly, in 2026 the gap between a best SEO agency and just another vendor is bigger than ever.

A few things I now always look at:

  1. They talk business, not just rankings

If the conversation is all about positions and traffic - that’s a red flag. A solid team will tie SEO to revenue, leads, CAC, not just “we’ll grow your keywords.”

  1. Clear process (not magic)

A best SEO agency should be able to explain exactly:

- how they do research

- how they prioritize pages

- how they build links

- what happens in month 1, 3, 6

If it sounds vague - it probably is.

  1. Real examples, not just logos

Case studies matter, but I always dig deeper:

- what exactly did they change?

- how long did it take?

w- hat didn’t work?

Anyone can show “+200% traffic” - fewer can explain how and why.

  1. They don’t say yes to everything

Good agencies push back. If they agree with every idea you have - they’re probably just executing, not thinking.

  1. Communication > promises

Weekly/bi-weekly updates, clear reports, quick answers - this ends up being more important than most people expect. Bad communication kills even good SEO.

  1. They understand your niche (or can learn fast)

You don’t always need industry experience, but they should ask the right questions and get into your product quickly.

From my experience, the biggest mistake is choosing based on price or promises. The right agency feels more like a partner who’s slightly annoying (in a good way), because they challenge your assumptions and focus on what actually moves the business.

Curious how others are vetting agencies now - especially with AI-generated content everywhere. What became your dealbreaker?

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u/dead_from_inside_ — 9 days ago

How do you come up with photoshoot concepts that actually feel original?

Working on a creative photoshoot idea and realizing how easy it is to fall into the same visual patterns. Moodboards look good at first, but then everything starts blending together and nothing feels really original anymore. I’ve been trying to build a concept around small details instead of big themes, like focusing on a specific moment or feeling rather than just aesthetics, but it’s harder than it sounds

Also went down a bit of a rabbit hole on what is a lifestyle photographer and it made me rethink how much of a “concept” actually needs to be planned vs just letting things happen naturally during the shoot. Feels like some of the more unique results come from less rigid setups, but that’s also risky if you don’t have a clear direction

Curious how you approach this. Do you start with a strong concept and stick to it, or leave room to improvise and see where it goes?

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u/dead_from_inside_ — 9 days ago

I was stuck on 300 views a video literally for months, and I know what the algorithm is really responding to.

Two years in, I was getting pretty frustrated. It wasn't about the hooks, the editing, the posting schedule; all that was more or less handled after two years of grunt work. It was just that most of my videos were dying at the 200-300 view mark, and I had no clue why beforehand. I had my viral hit now and then to keep the lights on, but that hit rate just wasn't gonna cut it.

The one aspect of my decision-making process that I was too slow to analyze was its foundation. I had thought it was solid, that I'd optimized the basis of all my content decisions across hundreds of videos, but that was only what my eyes told me based on shallow analytics. The issue was that the typical analytics tools (average watch time, number of views, engagement) all tell you what happened after your video had already failed or succeeded; there was simply no insight from a failing video's statistics about why it failed within the video itself.

I began analyzing my content in terms of the first 10 seconds. Frame by frame retention analysis on the successful versus unsuccessful videos clearly showed me the patterns. Once you know what to look for and what you're aiming for, you see the results: it turns out the algorithm favors things like 70%+ retention by 5-7 seconds, >25% rewatch rate, and viewing patterns that are more indicative of active watching than absentminded scrolling.

The tangible outcome was that instead of ""I don't know why my video flopped,"" I could determine, ""This video died at 6 seconds because the same frame was on screen for 1.8 seconds."" This fundamentally altered my approach to making every single one of my videos.

The hit rate began to improve more consistently, and my clearfrontal mistakes (my judgments about what type of video to make) and wasteful mistakes reduced considerably. This compounded rapidly over multiple daily videos.

If you've been making content long enough that you're good at editing but your output still feels arbitrary for its volume, you likely have an information deficit problem. The conventional analytics tools only show you the outcome without any granular detail about the mechanics within your video that produced that outcome.

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u/dead_from_inside_ — 9 days ago

Many many many months of 200 views per video until I figured out what algorithm really cares about

Two years into this I was getting truly fed up with my inconsistency. Not my hooks, my editing, or even my posting schedule ( those things had been locked in for a good chunk of time). The problem was most videos died around the 200-300 view mark before I could even tell what was killing it. Occasional hits carried others along, but the hit rate was garbage.

What I was failing to notice and scrutinize was what my entire content strategy was built on. It seemed strong because I'd solidified it after hundreds of videos. The caveat being I'd only optimized it for what I could see in basic analytics, and basic analytics has an inherent fault: average watch time, total views, engagement rate- all metrics will only tell you what occurred after your video had already died or thrived. By the time you access this data for a dead video, the opportunity to discern what caused it to die is gone.

Instead, I began analyzing the first ten seconds of the video. Looking at frame-by-frame retention graphs of videos that popped versus those that died revealed that the first 5-7 seconds are truly how the algorithm decides if your video has legs. Videos above 70% retention through the first 7 seconds, with rewatch rates of over 25% and patterns indicating interaction with the content itself rather than just getting stuck in the hook for a few seconds, have immense distribution potential.

All I had to change was instead of guessing why my video died, I began to see what specifically people were leaving the video at. Instead of ""people left the video at 40%"", it became ""people left the video at 6 seconds because the static shot for 1.8 seconds put them to sleep"". This perspective shift has carried through all of my content production since then.

This improved hit rate now compounds my month-to-month performance. It is not an overnight fix, but now I know what I am getting into and I no longer spend hours crafting and publishing videos that only fail. When you make content every day, that kind of progress will compound fast.

What you are given access to can only tell you what happened after the deed is done. If you've been making content for a decent amount of time and find that your results are much more random than they should be for your skill level, you lack information. Most creators only have information about the result of the video, not the instant the result was determined.

EDIT: for those asking what I used to do this, it was this app

u/dead_from_inside_ — 10 days ago

Are there any good Instagram profile viewer tools that don’t require login?

Maybe a weird question, but are there actually any decent Instagram profile viewer tools left that don’t force you to log in first?

Sometimes I just want to check a public profile quickly without opening the app or attaching my account to random third-party sites 😅 Half of the “instagram profile viewer” tools I’ve tried either stop working after 2 clicks or instantly ask for login/payment.

I came across peekviewer.com while searching around, but I honestly can’t tell which of these services are legit anymore and which are just bait.

Has anyone here actually used an instagram profile viewer that works consistently without turning into a spammy mess?

reddit.com
u/dead_from_inside_ — 11 days ago

I was stagnant for months at 200 views per video until I knew what the algorithm actually wanted

After two years into this, inconsistency was gnawing at me. Not the hooks, not the editing, not the posting schedule. By this point in my grinding career those had all become concrete. The issue was far too many of my videos were dying at the 200-300 views, and I didn't have a mechanism to diagnose what was killing them. The sporadic wins carried everything but my hit rate was nowhere near where it should have been.

The thing it took me far too long to truly examine was the bedrock upon which all of my content strategy rested. It felt right because I had refined it over hundreds of videos. The issue was that I was optimizing based on what I could see within standard analytics, and these numbers have a crucial blind spot. Average watch time, total views, engagement rate – they all describe what happened after your video has either already succeeded or died. By the time you're analyzing those numbers on a failing video, you've already lost your chance to find out what it was that caused them to be those numbers in the first place.

So I started looking very specifically at what was happening within the first ten seconds of a video. Minute-by-minute retention on breakthrough videos vs. Dead ones. The difference became very obvious, very quickly, once I knew what I was looking for. There is a five to seven second window during which the algorithm decides whether or not to truly push your video. Consistent watch rate over seventy percent during that window, rewatch rates over twenty-five percent, watch patterns indicating engagement instead of random accidental viewership. These types of numbers within that five-to-seven second period almost always translated into significant distributional potential.

The practical impact is that I no longer had to speculate as to what killed my videos, I now had direct visibility into what caused people to exit them. I'm talking not just ""people stopped watching at 40%"", but ""people stopped watching at six seconds because I let the visual stay static for 1.8 seconds."" This detail has profoundly impacted how I approach every single video I create from that point forward.

The hit rate improved in a measurable month-over-month sense, not necessarily on an individual video level instantly, but the decisions I was making for my upcoming content were suddenly far better informed, and the costly time-wasting mistakes were happening dramatically less often. When you're posting daily, a difference like that can compound quickly.

If you've been creating content for a long enough time that your editing skill is adequate and yet your results still feel far more random than a person at your level should produce, you are suffering from an information deficit. The standard tools most creators are using simply aren't showing you what's causing what to happen, just that it is happening.

EDIT: If anyone was wondering the tool that I used was this app

u/dead_from_inside_ — 11 days ago

I’m thinking about integrating a bond data feed into Excel - is that realistic?

Is there a practical way to pull bond market data (yields, prices, ratings, maturities, spreads, etc.) directly into Excel without building something overly complex or going full institutional setup? Most options I’ve seen so far are either quite heavy (enterprise tools) or require mixing different sources and a lot of manual handling to make anything usable in one sheet. Ideally looking for something that can update data in a reasonably structured way inside Excel, without turning into a full data engineering project. Has anyone done something like this in practice? What did you use?

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u/dead_from_inside_ — 12 days ago
▲ 17 r/fintech

For those not using Bloomberg, what financial data provider (vendor) are you relying on?

Curious what people rely on day to day for things like prices, fundamentals, bonds, historical data, etc. There are a lot of providers out there, but it’s hard to tell what works well in practice vs what just looks good on paper. Are you mainly using Refinitiv, FactSet, S&P Capital IQ, or more niche / lower-cost tools? Or is it usually a mix depending on what you’re doing (research, trading, screening, etc.)? Would be interesting to hear what’s working for you outside the big enterprise setups.

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u/dead_from_inside_ — 13 days ago

Used Paybis for my first Bitcoin purchase - was it a good or bad move?

Just made my first BTC purchase and went with Paybis because it seemed like the easiest option at the time.

Didn’t really overthink it - just wanted something quick that worked with a card and didn’t feel complicated for a first try.

Now I’m wondering if that was actually a decent choice or if there are better/safer ways people usually go for their first buy.

How did you guys start:

- stick with services like this?

- move to bigger exchanges later?

- or just start there from the beginning?

Trying to figure out if I should keep it simple or change approach before I put more in.

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u/dead_from_inside_ — 14 days ago
▲ 3 r/nocode

Apps that restore old photos and let you share as short videos - recommendations?

Been going through old family photos lately and found a bunch that are faded, scratched up, or just really low quality.

I wanted to clean some of them up and maybe make a few simple video-style clips out of them for family members. Nothing super fancy, mostly just light animation or small movement effects.

I checked a few apps already, but a lot of them either overdo the AI look or push everything behind subscriptions. Still trying to find a restore old photos app that feels simple and doesn’t make everything look fake.

Curious what people here are actually using for this stuff. Would appreciate any recommendations from people who’ve tried it themselves.

reddit.com
u/dead_from_inside_ — 14 days ago