frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Open in hackernews

Last month 10k apps were built on our platform – here's what we learned

5•jonathanhar•11mo ago
Hey all, Jonathan here, cofounder of Fine.dev

Over the last month alone, we've seen more than 10,000 apps built on our product, an AI-powered app creation platform. That gave us a pretty unique vantage point to understand how people actually use AI to build software. We thought we had it pretty much figured out, but what we learned changed our thinking completely.

Here are the three biggest things we learned:

1. Reducing the agent's scope of action improves outcomes (significantly)

At first, we thought “the more the AI can do, the better.” Turns out… not really. When the agent had too much freedom, users got vague, bloated, or irrelevant results. But when we narrowed the scope the results got shockingly better. We even stopped using tool calls almost all together. We never expected this to happen, but here we are. Bottom line - small, focused prompts → cleaner, more useful apps.

2. The first prompt matters. A lot.

We’ve seen prompt quality vary wildly. The difference between "make me a productivity tool" and "give me a morning checklist with 3 fields I can check off and reset each day" is everything. In fact, the success of the app often came down to just how detailed was that first prompt. If it was good enough - users could easily make iterations on top of it until they got their perfect result. If it wasn't good enough, the iterations weren't really useful. Bottom line - make sure to invest in your first request, it will set the tone for the rest of the process.

3. Most apps were small + personal + temporary.

Here’s what really blew our minds: People weren't building startups / businesses. They were building tools for themselves. For this week. For this moment. A gift tracker just for this year's holidays, a group trip planner for the weekend, a quick dashboard to help their kid with morning routines, a way to RSVP for a one-time event. Most of these apps weren’t meant to last. And that's what made them valuable.

This led us to a big shift in our thinking:

We’ve always thought of software as product or infrastructure. But after watching 10,000 apps come to life, we’re convinced it’s also becoming content: fast to create, easy to discard, and deeply personal. In fact, we even released a Feed where every post is a working app you can remix, rebuild, or discard.

We think we're entering the age of disposable software, and AI app builders is where that shift comes to life.

Also happy to answer questions about what we learned from the first 10K apps AMA style.

Comments

kingkongjaffa•11mo ago
> We think we're entering the age of disposable software, and AI app builders is where that shift comes to life.

This is a fascinating thought. I wonder if there's some disconnect between good design and the immediacy of building something that solves exactly the thing you need to solve at the time.

What I mean is, when you first build something, it probably does what users need, but there's always some rough edges. Frankly out of 10,000 throwaway apps built, I'm going to guess probably less than 10 have been built with good design and taste.

It's like the difference between a TODO MVP toy app to track tasks, vs something like Linear which is beautifully designed.

Both probably have their place I think.

For my work I'm not sure I want my tools to be so discardable personally. I want to use predictable, well designed tools that have had their rough edges sanded down through iteratively reducing the micro-frictions I have in my day to day job. Behind every great product experience there's usually someone obsessing over a specific pain point and motivated to make something great.

Toy throwaway apps can't replace human thinking time and experience using a tool over months and years.

For personal and one time problems, toy apps can absolutely get the job done, and most people are willing to overlook the rough edges.

tomcam•11mo ago
> When the agent had too much freedom, users got vague, bloated, or irrelevant results.

Listen, pal: I was vague and bloated long before you released your little platform!

Clarke and Dawe – The Front Fell Off [video] (1991)

https://www.youtube.com/watch?v=3m5qxZm_JqM
1•walterbell•1m ago•0 comments

Autonomous Rocket Landing with Reinforcement Learning (YouTube)

https://www.youtube.com/watch?v=1oI-Gh8R_HE
1•rafacm•3m ago•1 comments

Iran-linked hackers disrupt operations at US critical infrastructure sites

https://arstechnica.com/security/2026/04/iran-linked-hackers-disrupt-operations-at-us-critical-in...
1•joozio•3m ago•0 comments

Show HN: PostgreSQL running in the browser, persisting to S3

https://www.zerofs.net/postgresql-in-the-browser
1•Eikon•4m ago•0 comments

DSPy: Programming – Not Prompting – Language Models

https://www.akashtandon.in/interactive-explainers/dspy/
1•akashtndn•7m ago•0 comments

Show HN: Omen – A lightweight Kubernetes chaos operator with manual approval

https://github.com/k-krew/omen
1•kreicer•9m ago•0 comments

Show HN: Artificial Intelligence Squared – LLMs Debate Each Other

https://ai-squared.vercel.app
1•emregucerr•10m ago•0 comments

TradingGoose-Market: canonical ticker identity across market data providers

https://www.tradinggoose.ai/blog/building-tradinggoose-market
1•BruzWJ•11m ago•1 comments

Antirez vs Opus vs Codex

https://twitter.com/antirez/status/2041273781256159646
1•napolux•11m ago•0 comments

Show HN: An API that catches what your LLM confidently got wrong

https://enterprise.factagora.com/en/api
5•hanwoo•17m ago•1 comments

How to Add Memory to Your Hermes Agent

https://cortexdb.ai/blog/hermes-memory-tutorial
2•prmalik•17m ago•0 comments

Show HN: Guardians – Verify tool-using agent workflows before execution

https://github.com/metareflection/guardians
2•namin•19m ago•0 comments

The silent coup: How AI captured Westminster

https://www.newstatesman.com/technology/2026/04/the-silent-coup
1•timthorn•20m ago•0 comments

Show HN: Agent Skill Based on "Open Source Security at Astral"

https://github.com/backnotprop/oss-security-audit
2•ramoz•21m ago•0 comments

Show HN: Stricline: A meta-framework to easily build robust CLI apps w/stricli

https://codeberg.org/reesericci/stricline/
2•reesericci•22m ago•0 comments

Summer is getting longer, and it's happening faster than we thought

https://news.ubc.ca/2026/04/summer-is-getting-longer-and-its-happening-faster-than-we-thought/
1•xbmcuser•22m ago•0 comments

New version of Claude-ground with newly added skills for indie devs

https://github.com/akinalpfdn/claude-ground
1•akinalpfdn•22m ago•0 comments

Code Is Cheap Now, and That Changes Everything

https://perevillega.com/posts/2026-03-16-code-is-cheap-now/
2•v-mdev•25m ago•0 comments

Increasing and inequitable US pregnancy-related mortality ratios

https://academic.oup.com/aje/advance-article/doi/10.1093/aje/kwaf287/8414625?login=false
1•PaulHoule•28m ago•0 comments

Hungary is not just an illiberal state. It is a state with a moral mission

https://www.noemamag.com/the-return-of-the-moral-state/
2•Pamar•29m ago•0 comments

Pages of Claude Mythos That Got Zero Headlines

https://twitter.com/samagra_sharma/status/2041882243807707230
3•samagra14•30m ago•1 comments

Show HN: AccessGuard – Scan your site for accessibility lawsuit risks

https://getaccessguard.com/
2•chille87•31m ago•0 comments

Amazon is ending support for older Kindles and Kindle Fires

https://www.theverge.com/tech/908302/amazon-ending-support-kindle-fire-tablet-e-reader-pre-2012-o...
3•ingve•32m ago•0 comments

Uni-1 AI – Advanced AI Platform for Content Generation

https://uni-1.co
1•danielmateo773•37m ago•0 comments

SecureDrop is an open source whistleblower submission system

https://securedrop.org/
1•janandonly•38m ago•0 comments

Mitigating Unexpected Arithmetic Overflow

https://lkml.org/lkml/2024/5/7/1767
1•prakashqwerty•38m ago•0 comments

Building a Rust Runtime for TypeScript

https://encore.dev/blog/rust-runtime
5•dohguy•39m ago•1 comments

Is there a path to Gamification of Verification?

https://olshansky.info/thoughts/2026-04-08-gamification-of-verification
1•Olshansky•40m ago•0 comments

AI Cybersecurity After Mythos: The Jagged Frontier

https://aisle.com/blog/ai-cybersecurity-after-mythos-the-jagged-frontier
2•evelinag•42m ago•1 comments

PrismAudio AI – AI-Powered Audio Enhancement Tool

https://prismaudio.net/
1•danielmateo773•44m ago•0 comments