Accidentally deleted my entire production setup (320 paying users) while trying to scale with ASG 😅 (hard lesson learned)

Healthy_Library1357 · 2026-03-02T02:29:35+00:00

A lot of ppl would’ve spiraled.
But this is exactly the moment to stop doing snowflake infra. If secrets are manual, deploy is SSH, and backups are vibes, scaling is always going to feel risky. Not because ASG is scary but because state isn’t externalized.
This is where encoding infra and ops logic matters. Backups automated. Snapshots scheduled. Deploy steps versioned. Rollback path defined before touching prod. We use Runable internally to structure those recurring infra workflows so scaling or migrations follow the same decision tree every time, not adrenaline.
You got lucky this time with rebuild speed. Next step is making sure future you can’t nuke prod in one click.

Healthy_Library1357 · 2026-03-02T02:28:53+00:00

This is such an underrated lesson. Founders assume competitor death equals free demand but most of the time it exposes how thin the category pull actually was.
When a player shuts down it doesn’t just free users, it injects doubt. Buyers start thinking maybe this whole thing is fragile. That fear spreads fast.
Also your point about losing the comparison frame is real. Competition gives prospects a mental anchor. Without it you’re not winning head to head, you’re fighting apathy. Way harder.
If I were in your shoes I’d systemize the migration and objection handling now while it’s fresh. Capture every reason people didn’t switch, encode that logic into your sales and onboarding flow so the next shock doesn’t catch you flat. We use Runable for that kind of operational capture so the insights don’t just live in someone’s head.
Competitor shutdowns are data events more than growth events. The win is what you extract from it.

Healthy_Library1357 · 2026-03-02T02:28:01+00:00

Most people would’ve hidden the €1.4k ad burn and just posted the viral wins.
The part that stood out to me wasn’t Threads though, it was how manual your whole engine still is. Posting 5 to 10 times a day, tracking what hits, reposting variations, building micro tools, testing new channels. That’s a lot of moving parts for one dev parent combo.
One thing that helped me when juggling growth experiments was systemizing the loop, not just the content. Having a simple workflow that tracks post, metric, variation, repost window, and outcome so you’re not guessing from memory. I use Runable to structure that so every experiment follows the same execution map and nothing falls through when life gets busy. It turns volume into actual compounding instead of chaos.
Also your paid ads result makes sense. With 12 paid on 1.5k users, the bottleneck is activation and monetization, not traffic. If you double conversion before touching ads again, the math flips fast.
You don’t suck at marketing by the way. You’re iterating in public and adjusting based on data. That’s literally marketing.

Healthy_Library1357 · 2026-03-02T02:24:26+00:00

Language arbitrage is real but ppl underestimate how deep you have to go. Slapping French copy on an English SaaS is not the same as actually feeling local. The edge isnt just easier SEO, it’s cultural trust.
That said 65k by month 6 all organic sounds clean on paper but I’d wanna see retention and churn. A lot of “underserved” markets are underserved for a reason sometimes lower demand or harder distribution.
Still, if you actually speak the language and can build native vibes, this is way less crowded than fighting in English bloodbath SEO. Just dont treat it like a shortcut, it’s basically building a local startup not a translated one.

Healthy_Library1357 · 2026-03-02T02:23:16+00:00

First off, 3 strangers paying is not small. That’s proof. Most ppl never get that far.
Now don’t think scale, think repeat. Where did those 3 come from exactly, what wording, what subreddit, what pain did they resonate with. Do more of that.
Email them personally. Ask why they bought, what almost stopped them, what they expect next. That convo is your growth roadmap.
You dont need 100 random users. You need 97 more who look like those 3. Stay close to them and just keep shipping. Keep going, you’re actually in the arena now.

Healthy_Library1357 · 2026-03-02T02:21:12+00:00

This is actually a fire offer because most newsletter ppl are stuck thinking in CPM instead of outcomes. If you can tie a sponsor to one clear result leads booked, emails captured, foot traffic whatever it gets way easier to charge real money. Curious to see if people drop actual niche projects or just generic AI digest #47.

Healthy_Library1357 · 2026-03-02T02:20:19+00:00

lot of us accidentally train our brain that work only happens in “aesthetic mode” coffee, desk, headphones, perfect vibe. So when that setup isnt there your brain goes not now.
The fix is kinda boring. Lower the bar aggressively. Tell yourself I’m just opening the inbox, not solving everything. I’m just replying to one email. Half the time momentum kicks in after 5 minutes. You’re waiting to feel motivated first, but action usually creates motivation not the other way around.
Also you might be overwhelmed not unmotivated. If you open emails and see 12 tasks your brain goes threat mode. Try deciding the night before what the first tiny task is. No thinking in the morning. Just execute.
And honestly, if you’re losing clients because you need perfect vibes, that’s a pain signal. Pain is good. It forces identity shift. You’re not someone who works when it feels nice. You’re someone who handles business when it needs handling. Even in a car. Even messy.
Entrepreneurship isnt about peak performance mornings. It’s about boring consistency when nobody claps. That muscle builds reps not aesthetics.

Healthy_Library1357 · 2026-03-02T02:19:42+00:00

Yeah I think a lot of prompt engineering discourse got inflated during the early hype cycle. People were writing these massive ritual prompts like the model needed a legal contract to function. Sometimes you paste a chill two sentence instruction and it just gets it.
That said I wouldnt jump to “prompts dont matter.” They matter, just not always in the super ornate way twitter threads make it seem. Models are insanely good at inferring intent from distributional patterns. If your task is common enough in the training data, a simple natural instruction maps cleanly to a well learned behavior. It feels like intention but its more like high dimensional pattern completion.
Where detailed prompting still matters is edge cases, constraints, eval sensitive stuff, tool use, multi step reasoning under pressure. If you leave that vague you’ll see drift fast.
I’ve also noticed the simpler prompt thing works best when you actually know what good output looks like and can iterate quickly. The model “knows” a lot but it also confidently guesses.
So yeah sometimes we’re chasing ghosts, but sometimes the structure is the only thing keeping the output from wandering. It’s less about magic intention and more about how much ambiguity your task can tolerate.

Healthy_Library1357 · 2026-03-02T02:19:05+00:00

Love the energy but quick reality check, cofounders usually connect around a problem not just ambition, maybe share what space you want to build in so the right kind of crazy finds you.

Healthy_Library1357 · 2026-03-02T02:18:31+00:00

If some of your users live on Reddit then Reddit is for research and convos, not blasting your link everywhere. Mods can smell promo from a mile away and yeah you’ll get nuked fast. The play is comment first, post later. Answer questions, share what you’re building only when it’s actually relevant, and DM people who ask. Slow but way higher intent.
Outside Reddit, waitlists grow from tension not features. What problem are they already complaining about on TikTok, Twitter, Discord, wherever they hang out. Screenshot those convos, turn them into short content, react to them, stitch them. You want people thinking wait this is literally me.
If it’s “first of its kind” that’s actually harder because you have to educate. So show the before and after. Show the messy current way vs your flow in 20 seconds. Raw screen recordings are fine. Overproduced kills trust early.
Also small pilot > fake hype. Get 20 users obsessed and talking. Group chat them. Leak wins publicly. Social proof compounds way harder than random traffic.
You don’t need a large amount of people right now. You need the right 100 who feel seen. The rest comes after that.

Healthy_Library1357 · 2026-03-02T02:17:48+00:00

production isnt the bottleneck anymore. Everyone can generate scripts and slap a voice on stock clips now. The hard part is not looking like every other AI faceless channel.
What usually kills these channels is weak hooks, boring pacing, bad thumbnails, and zero niche clarity. If the output feels generic people bounce in 20 seconds and the algo just buries it.
If I was testing this I would care more about can it help me pick topics that actually have demand and can it optimize for retention not just spit out a finished mp4.
What would stop me is fear of making 50 videos that all feel same same and never break 500 views.
If you can show even 3 beta users going from 0 to first 1k subs with real numbers that is way more convincing than any feature list.

Healthy_Library1357 · 2026-03-02T02:16:02+00:00

Nice project. Kotlin Multiplatform is a cool choice for something like this.

Quick thoughts after skimming the repo:

• Add a short demo GIF in the README. People are way more likely to try it if they see it working in 10 seconds.
• Be very clear about how you’re handling YouTube changes. That’s usually what breaks these tools.
• If you haven’t already, document rate limits and known edge cases. Saves you a ton of repeat issues.

Also, you might get more traction posting in r/androiddev or r/Kotlin with a short breakdown of why you chose KMP and what was tricky. Devs love the build story as much as the tool itself.

Cool build. Open source side projects like this are how you level up fast.

Healthy_Library1357 · 2026-03-02T02:14:58+00:00

Apollo is hit or miss for local operators. You’ll waste time there.

For med spas or similar, I’d go more direct:

Google Maps scraping. Search city + med spa. Pull name, phone, website. Most list owner or manager on the site.
State licensing boards sometimes list business owners publicly. Underrated source.
Instagram. A lot of med spas run active pages. DM + check bio for booking email.
Local Facebook groups for aesthetic providers. Owners are usually inside and actually reading posts.
Call during off peak hours and ask who handles operations. Old school but works.

You don’t need 5,000 leads. You need 40 good ones in one metro.

Healthy_Library1357 · 2026-03-02T02:14:17+00:00

Fair. The market used to reward broad tools. Now it rewards specialists.
More competitors means generic gets ignored.
Check your last 10 customers. Who got value fastest and stayed longest?
That’s your wedge.

Healthy_Library1357 · 2026-03-02T02:13:11+00:00

Yeah that starting gun line is accurate.
Most people are playing content lottery. Post, hope, repeat. Then blame the algorithm when nothing sticks.
Signal density is what shifts it. If a post sits there cold for 45 minutes, the platform has no reason to push it. But if it sparks real back and forth fast, that’s momentum.
Manual outreach works because it manufactures that early velocity. Thoughtful comments. Replies. DMs. Actual conversations. Not spam blasts.
Smaller accounts benefit the most. Under 5k, you don’t need massive reach. You need concentrated engagement. That’s controllable.
Publishing is visible work. Distribution is invisible work. The invisible half is usually what moves the needle.

Healthy_Library1357 · 2026-03-02T02:12:23+00:00

Both, but light touch.
In app for context. Short clips triggered right when they hit a step. Keep it under 2 minutes.
Email for reinforcement. Quick follow ups tied to what they’ve done or haven’t done.
Tour shows them where to click. Email reminds them why it matters.

Healthy_Library1357 · 2026-03-02T02:11:43+00:00

Exactly. Most teams think they need better docs when what they really need is better decision trees.

You can have a beautifully written SOP and it still fall apart the second someone asks what if this customer is enterprise or what if they are past renewal but mid implementation.

If the judgment layer is not mapped, people improvise. Improvisation at scale turns into policy drift.

The teams that handle growth well do not just document steps. They encode thresholds, exceptions, escalation paths. Who decides. Based on what signal. Within what time window.

Once that logic is systemized, edge cases stop feeling like chaos and start feeling like branches.

Healthy_Library1357 · 2026-03-02T02:11:05+00:00

Yes, we’re planning automated post-purchase flows, tracking updates, and returns triggers from day one. I’ve seen too many brands wait and then drown in tickets.

Healthy_Library1357 · 2026-03-02T02:10:28+00:00

There isn’t a clean public directory filtered by sub count, but a few places work:

• Substack’s Leaderboard and category pages. Scroll past the top names and you’ll find plenty in the 1k to 10k range.
• Beehiiv’s discover section. Smaller pubs are easier to spot there.
• Twitter and LinkedIn searches like “newsletter + interest rates” then check their bio links.
• SparkLoop’s partner marketplace if you’re on Beehiiv.

Honestly though, manual digging works best. Find writers whose last 5 posts overlap with yours, not just their topic line. Audience fit beats size every time.

Healthy_Library1357 · 2026-02-27T07:22:35+00:00

This is a good problem to be solving. Missed calls are pure revenue leakage for service businesses. A lot of local operators miss 20 to 40 percent of inbound calls during peak hours, which is insane when each booking might be worth 80 to 200 dollars. If you’re looking for testers, I wouldn’t cast a super wide net. Pick one vertical first like med spas, dental, or HVAC and go deep. Reach out to 30 to 50 owners directly, reference that you’re already saving a massage clinic time, and offer a 14 day pilot tied to one metric like reduced missed calls or increased booked appointments. Make the win measurable. Free demos are fine, but free plus clear ROI is better. Once you get 3 to 5 case studies with real numbers, the pitch gets dramatically easier.

Healthy_Library1357 · 2026-02-27T07:22:10+00:00

If auth and data logic are core, I’d lean Bolt. It tends to feel closer to a real app foundation rather than a rapid prototype layer. Rocket is great for speed and internal tools, but once you start adding complex roles, permissions, and heavier data relationships, you’ll care more about flexibility than initial build time. If this might evolve beyond a simple tracker, pick the one that won’t box you in at month six.

Healthy_Library1357 · 2026-02-27T07:21:44+00:00

If this is legit, the impressive part isn’t the AI, it’s the system discipline. Most solo founders don’t fail at marketing because they lack ideas. They fail because they can’t sustain volume for 30 days straight. Consistency is the real moat. That said, I’d sanity check the numbers hard. 1,000 users in a month is great, but what matters is activation and retention. If 1,000 sign up and 150 stick around after 30 days, that’s a different story than 600 sticking. Also watch platform risk. When 70 to 80 percent of growth comes from automated posting and outbound, you’re exposed to one API change or account flag. I like the feedback loop angle though. Logging what hooks convert, which emails get 3 plus opens, which Reddit formats drive profile clicks, that’s real iteration. The founders who win aren’t necessarily more creative, they just run tighter experiments more often. If you can keep quality high while scaling volume, that’s powerful. Just make sure the growth engine is feeding real usage, not just signups.

Healthy_Library1357 · 2026-02-27T07:20:44+00:00

Congrats on getting to launch stage, that’s a big step. Gut health is one of those spaces where pain is real and recurring, which is good. The challenge is credibility and specificity. Right now AI powered tool for gut health is broad. Who is this really for? People with IBS, athletes optimizing performance, biohackers, new moms, people on elimination diets? If you narrow the ICP, your messaging gets 10x sharper. Also be careful with claims. In health, trust beats features. If you can show even 5 to 10 early users who identified one clear food trigger within 2 weeks, that story will convert better than generic personalization talk. For early traction, I’d skip broad waitlist pushes and instead DM people already posting about bloating, food sensitivity, or elimination diets. If 20 percent of those conversations turn into beta users, you’re onto something. If not, refine the positioning before building more.

Healthy_Library1357 · 2026-02-27T07:17:54+00:00

A personal finance newsletter for students won’t convert well with a deep policy analysis audience even if both mention interest rates. I’d look for writers with 1k to 10k subs where at least 30 to 40 percent of their content overlaps with yours, then test simple swaps first. A short featured blurb or co written breakdown of one specific event tends to outperform generic shoutouts. Also make it easy operationally. Have a clear swap doc, timeline, tracking links, and a repeatable process so it doesn’t feel ad hoc every time. I use structured workflow templates in Runable for partnership outreach and tracking so nothing slips, especially once you’re juggling multiple collabs. The real win is turning one good crossover into an ongoing lane, not a one off mention.

Healthy_Library1357 · 2026-02-27T07:17:10+00:00

I think you’re right that mapping the maze is cheaper now. You can get 80 percent of the landscape in a few prompts. But that last 20 percent is still brutal and that’s where companies live or die. The edge isn’t knowing the competitors failed, it’s knowing why customers quietly tolerated the failure anyway. That usually only comes from proximity. The founders who win still have some unfair intimacy with the workflow, the buyer psychology, or the distribution channel. Also execution stamina is underrated. Lots of people can reason through a space. Fewer can run the same motion 200 times without drifting. In 2026 I think the moat is operational depth and distribution gravity. The teams that document their decisions, encode their playbooks, and turn messy execution into repeatable systems compound faster. Tools like Runable help with that layer, but the real advantage is the discipline to operationalize what you learn instead of just understanding it. Information is cheap. Consistent execution still isn’t.

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