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How we decided to pivot after 4 years
After four long years of grinding, building, fundraising, and hiring, we decided to pivot. I wanted to write down my thought process and timeline because I wish I d seen more honest pivot stories when we were stuck. Not just we pivoted and everything was instantly great but the real version where we kept trying to make the original idea work for way too long because we already put so much into it.
I went through YC S20 (the first COVID batch) as a solo founder working on @Basedash. After YC, I did what you re supposed to do. I talked to users. I built product. I did founder-led sales. I hired a great team. It felt like progress because I was constantly busy and the product kept getting better.
⚡ 5 New Problems to Build a Startup | ProblemHunt
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A 3-year search for a simple tool to track both personal and business finances in one place. Nothing fits.
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Website owners constantly need minor edits in the admin panel. They are forced to pay specialists for 5-minute tasks. We need an AI agent that does this on command in the browser.
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An indie hacker spends 20-30 hours manually cold launching each new product in directories, Reddit, and blogs. There is no tool that fully automates this and proves its effectiveness.
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A freelancer often loses in proposal competitions due to the inability to quickly create personalized and visual website concepts for each job order.
A Telegram channel owner is losing their audience without understanding the reasons for unsubscriptions. There is no simple tool for automatically collecting feedback from departed subscribers.
Is usage-based pricing becoming the norm for AI tools?
Hey everyone,
I've built my product around traditional SaaS pricing (monthly tiers), but I m starting to wonder if that model is getting outdated, especially with more AI-powered and compute-heavy tools entering the market.
That shift requires real architectural changes, instrumentation, metering, billing logic, and UI changes, not just pricing tweaks. It s something I m starting to seriously think about for my own product.
In particular, AI usage has real COGs (every prompt costs money), and I m seeing more platforms experimenting with usage-based models, or hybrids like SaaS base + usage + overage.
For those of you building AI or compute-intensive tools:
Dos and don'ts before the Product Hunt launch
It s almost here for me. In three days, I ll be relaunching a major update for the app I have been collaborating with, and I ve set clear boundaries for myself about what I will and won t do before the launch. I guess these are some general, unwritten rules I try to follow
Definitely DON T:
Accept offers from charlatans promising votes or engagement for money
Send unsolicited messages begging for votes or support
Spam other people s posts with launch announcements
Are the best startups built on boring problems?

I came to exactly the same conclusion that real startup ideas often come from simple and boring problems. From my own experience: I spent three years on a startup that was supposed to revolutionize online education, but in the end it had 0 users. Now I ve just started solving a simple problem for home appliance repair technicians and immediately got my first paying users on a very rough MVP.


