u/Hamesloth

my portfolio stopped bleeding when I automated my logic, not my greed

I used to think my problem was picking the wrong stocks or crypto. It wasn't. my problem was that every green candle made me feel like I was late, and every red one made me feel like I had to "fix" the last trade immediately.

For a couple of years, I was basically just the exit liquidity for people who had a plan. I'd FOMO into a rally, get wicked out, then revenge trade on something else to make it back. i wasn't investing; I was just paying tuition to the market in the form of bad, impulsive decisions.

The uncomfortable relization was that my single best move was to remove myself from most of the decisions.

So I stopped trying to be a genius and started outsourcing my discipline to simple, boring rules. My main strategy now is just Spot DCA (Dollar-Cost Averaging). it's not magic, it just executes a plan without getting scared or greedy.

My setup is simple:

1.// Coins: 70% BTC, 30% ETH

2: Amount: $25 USDT

3, Frequency: Every Tuesday, no matter what.

The bot isn't allowed to make me feel smart. It just buys, on schedule, without chasing candles. DCA is boring until you realize that 'boring' is what keeps you from buying every local top because the internet got loud.

The reason BYDFi stuck around in my setup was almost embarrassing: I could set a BTC/ETH Spot DCA, choose the interval, and then physically remove myself from the decision. that was the whole point. The less I had to ‘optimize,’ the less I found ways to sabotage it. No API keys, no complex dashboards, just setting a rule and letting it run.

I also experimented with a small spot grid bot for BTC, but I treat it very differently. It's not free money. my test setup was a defensive range from 60k to 80k. With the price now near the top of that, it's mostly accumulating on dips. If BTC dumps through the bottom of the range, it just becomes a bag-building machine. if it rips straight through the top, you underperform just holding. It's a tool for specific market chop, not a primary strategy.

The biggest change wasn't that a bot made me rich. It did not. The biggest change was that I stopped donating money to my own worst impulses. my portfolio didn't get better because a bot outsmarted the market; it got better because I stopped letting panic and FOMO rewrite my entire plan every few hours.

reddit.com
u/Hamesloth — 11 hours ago

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

After 2 years of creating content in a more serious way, the lack of consistency in itself was making me insane. I wasn't struggling with the hook, my editing style, or posting cadence-they were locked in. My short form videos for 2 years had, 90% of the time, completely died at around the 200-300 view mark, and I had absolutely no way of diagnosing why before they died completely.

What I was doing wrong for years was relying on raw, native platform metrics in my strategy. The most fundamental flaw in the likes of average watch time and engagement rate is that they only show a post-mortem breakdown of what happened AFTER your video has already died or blown up. The second you look at this data to adjust your social media distribution, the ability to accurately diagnose the exact creative friction point has passed.

I stopped looking at global metrics, and instead focused entirely on the first 10 seconds where I analyze the micro-retention curves of failures vs. Outliers, and noticed a very clear pattern regarding the first 5 to 7 seconds where, on a fundamental level, the algorithm decides whether or not it will push your video to other people. With over 70% retention for that first 7 seconds, plus a decent rewatch rate, your distribution just plummets to zero.

My workflow immediately changed. Instead of shooting in the dark, I could now pinpoint exactly where I was making a creative mistake and why. Instead of seeing a boring, ""40% retention,"" I was now seeing, ""the audience dropped off at precisely 5.5 seconds, due to the static visual frame remaining static for an additional 2 seconds.""

This process of diagnosing those issues prior to pushing them live has fundamentally changed my channel's direction, and allowed for a compounding effect that stops the distribution of dead content. If your tech edits are sound and you’re not getting views, it’s not a content problem, it’s a data problem.

reddit.com
u/Hamesloth — 5 days ago

Attio CRM vs HubSpot for a modern sales workflow

I’ve been comparing Attio CRM vs HubSpot and I’m curious what people here think after actually using them. Attio looks really clean and flexible, especially for organizing contacts and workflows, but HubSpot seems more complete with marketing, automation, and sales tools all in one place. We’re a small team and want something easy to manage without feeling too limited later on. For anyone who has used Attio CRM vs HubSpot, which one felt better for daily work? Did Attio stay useful as your business grew, or did HubSpot end up being the safer choice? I’d also love to hear about any frustrating parts with either platform.

reddit.com
u/Hamesloth — 10 days ago

Grinded for months 200 views per video till I found what the algorithm actually wants

Two years into this, and the inconsistency was just killing me. It wasn't the hooks, editing, or posting schedule- those were fine by then. It was the huge volume of videos flatlining between 200-300 views before I could figure out what was actually killing them. The few that hit did carry the content, but the hit rate was absolutely trash.

What took me way too long to research was the underlying basis of my entire content strategy. It seemed rock-solid, and I'd been optimizing and fine-tuning it over the course of hundreds of videos. I was simply optimizing for what showed up on basic analytics, and these are by definition flawed. Watch time, views, engagement rate- these are simply readouts on what happens after a video either died or survived. By the time you're looking at the stats on a dead video, you've already missed your window.

I therefore started focusing laser intently on the first 10 seconds. I would literally track the retention pattern on the few videos that were successful compared to the rest frame by frame. The difference is profound once you learn what to look for. The algorithm makes its primary decision whether to push a video to people in roughly the 5-7 second range. Videos with >70% retention at that window, 25% rewatch rate, and attention pattern indicating actual focus rather than a casual glance at the hook are nearly always successful.

The big implication is that I'm not guessing why a video is failing; I know the exact point and the cause they are leaving. It's no longer 'they dropped off at 40%' it's 'they dropped off at 6 seconds because the image froze for 1.8 seconds'. This level of detail changes every decision made for every video created.

My hit rate has gone up to a sustainable level where I can actually track it on a month-by-month basis. This isn't happening overnight, but rather the decisions I make for every video are infinitely more informed, and time-wasting mistakes have been drastically reduced. This is hugely powerful on a daily posting schedule.

If you've been making content for enough time to be good at editing, and your hit rate still seems more random than you think it should be, then you have an information problem. Standard analytic tools simply provide the outcome without showing the moment and reason it occurred.

EDIT: If anyone was curious, the tool I used was this app.

u/Hamesloth — 11 days ago

Where do you guys usually pull corporate bond data from? I’m struggling to find a good source

Most of what I’ve come across is either scattered across different platforms or clearly more oriented toward institutional use, so it’s hard to figure out what people actually rely on for basic research. Looking for things like yields, ratings, maturities, and a simple way to compare different issues. What do you personally use for this? 👍

reddit.com
u/Hamesloth — 12 days ago

For months I was getting around 200 views per video until I found the key to what the algorithm really wants

This has been 2 years and the inconsistency was draining me. Not the hooks, not the editing, not the posting. After this amount of time putting in work those were solid. It was too many videos dying before I could figure out what was killing them. Around the 200-300 view mark every video would die. The few winners pulled the whole weight but the hit rate just wasn't there.

The thing it took me a while to look at was the bedrock my whole strategy was built on. I felt like it was a solid strategy because I had optimized it over hundreds of videos. However I was optimizing on things that were already present in basic analytics. The gap with analytics has, in its fundamentals, what your videos do after they have either lived or died. You only see the metrics after your video has either gone, or flown.

This prompted me to look at the first 10 seconds of videos only. Frame by frame retention of which videos were dead and which ones took off. Once you know what to look for the difference is readable. There's a window that occurs between seconds 5 and 7 where the algorithm determines whether or not to boost your video. If you have retention over 70% for that window, over 25% rewatch rate, patterns that suggest it was more than a user scrolling to a good hook. Videos like this have serious distribution.

The biggest actual change is I stopped wondering why things died and started knowing why they died. Not 'this video died at 40% but this one' died at 40% as well,' it was 'this video died at second 6 because of a static image lasting 1.8 seconds.' From this point forward that has shaped every video I have ever made since.

The hit rate increased to a degree where it is actually showing up month by month. It wasn't instantaneous, however the information going into each video and the mistakes being made have gone down by a factor that you can notice each month. Posting daily the advantage this gives you grows significantly and rapidly.

If you have been grinding for quite a while have good editing skills and it feels like the metrics are more random than they should be based on your experience you are having an information problem. Analytic tools people rely on tell you what the outcome was. They don't tell you why the outcome was what it was.

EDIT: tool was an app if you were curious

u/Hamesloth — 14 days ago

What CDN for Video Streaming actually handles high traffic without buffering?

We’ve been dealing with random buffering issues during traffic spikes lately and it’s starting to become a real headache.

Everything looks fine until traffic suddenly jumps, then people start complaining about slow loading, buffering, quality drops, all at once.

Feels like every CDN says they’re “built for scale”, but it’s hard to tell what actually holds up once real traffic hits.

>So for people here working with video streaming:

> what CDN has actually been reliable for you under heavy load?

> any that completely fell apart during spikes?

> are there providers you’d avoid now after using them in production?

Mostly interested in real experience, not marketing pages 😅

reddit.com
u/Hamesloth — 16 days ago

We’ve been getting to the point where lead volume isn’t the problem anymore - it’s what happens after. At first we just did basic round robin, but it quickly stopped making sense. Some reps close way better, some leads are higher intent, and sending everything equally just kills potential revenue. Tried manually prioritizing leads (source, intent, timing), but that gets messy fast when volume increases.

Curious how others are doing it - still round robin or using something smarter at this point?

reddit.com
u/Hamesloth — 24 days ago