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•8mo 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•8mo 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•8mo 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!

The Moral Authority of Animals

https://www.noemamag.com/the-moral-authority-of-animals/
1•bryanrasmussen•3m ago•0 comments

Ask HN: How do you evaluate a LLM these days?

1•pseudony•3m ago•0 comments

Show HN: Vita AI Coworker – Autonomous agents for testing and desktop automation

https://www.vita-ai.net
1•jdeng•3m ago•0 comments

A 'time capsule for cells' stores the secret experiences of their past

https://www.nature.com/articles/d41586-026-00116-8
1•Brajeshwar•7m ago•0 comments

Fastest drone hits 408 MPH to reclaim speed record

https://newatlas.com/drones/luke-mike-bell-peregreen-v4-guinness-speed/
1•Brajeshwar•7m ago•0 comments

Train an RL agent to play tic-tac-toe

https://github.com/andportnoy/rl-tic-tac-toe
1•aportnoy•7m ago•0 comments

Meat may play an unexpected role in helping people reach 100

https://www.newscientist.com/article/2511228-meat-may-play-an-unexpected-role-in-helping-people-r...
1•Brajeshwar•7m ago•0 comments

Time to deport relative's of Islamic Regime officials from the USA

https://www.iranintl.com/en/202601162566
2•ukblewis•8m ago•0 comments

ClickHouse Raises $400M at $15B Valuation in AI Data Boom

https://ascendants.in/business-stories/clickhouse-raises-400-million-15-billion-valuation-ai-anal...
1•taubek•9m ago•0 comments

Show HN: CTON – JSON-compatible, token-efficient text format for LLM prompts

https://github.com/davidesantangelo/cton
1•daviducolo•9m ago•0 comments

Does AI mean the demand on labor goes up?

https://notes.philippdubach.com/0005
1•7777777phil•10m ago•1 comments

LLMs are deciding your career

https://ognjen.io/llms-are-deciding-on-your-career/
1•rognjen•12m ago•0 comments

Show HN: LaReview, Plan-first AI code review, runs locally, bring your own agent

https://github.com/puemos/lareview
1•deofoo•12m ago•0 comments

Show HN: Long-horizon LLM coherence benchmark (500 cycles)

https://zenodo.org/records/18271592
1•teugent•13m ago•0 comments

Trump housing plan to allow 401(k) money for down payments, adviser says

https://www.reuters.com/sustainability/boards-policy-regulation/trump-housing-plan-allow-401k-mon...
3•alephnerd•14m ago•0 comments

Gathering Linux Syscall Numbers in a C Table

https://t-cadet.github.io/programming-wisdom/#2026-01-17-gathering-linux-syscall-numbers
1•phi-system•15m ago•0 comments

Show HN: OpenAI to show ads in ChatGPT for logged-in U.S. adults

1•SRMohitkr•16m ago•0 comments

I Used JJ Restore

https://mtende.blog/i-used-jj-restore
1•sonderotis•18m ago•0 comments

Iran Enters a New Age of Digital Isolation

https://filter.watch/english/2026/01/15/iran-enters-a-new-age-of-digital-isolation-2/
1•doener•19m ago•0 comments

Does AI-Assisted Coding Deliver? A Study of Cursor's Impact on Software Projects

https://arxiv.org/abs/2511.04427
1•tanelpoder•20m ago•0 comments

I use AI coding tools (in winter 2025)

https://blog.separateconcerns.com/2025-12-26-ai-tools-winter-2025.html
1•speckx•22m ago•0 comments

GitHub Gemini-CLI block in a loop

https://github.com/google-gemini/gemini-cli/issues/16723
2•mraniki•22m ago•0 comments

I turned my 10 year old tablet into a digital photo frame, showing Google photos

https://www.pankajtanwar.in/blog/i-turned-my-10-year-old-tablet-into-a-digital-photo-frame-displa...
2•thunderbong•23m ago•0 comments

Giving Agents Attention on My Workstation

https://www.potluria.com/blog/giving-agents-attention
1•potluri•25m ago•0 comments

Why moderate voters choose extreme candidates

https://academic.oup.com/sf/advance-article-abstract/doi/10.1093/sf/soaf199/8346070?login=false
1•7777777phil•27m ago•0 comments

Show HN: Using an LLM as a "semantic regularizer" for feature engineering

https://medium.com/@mschavinda/pruning-over-engineered-features-with-help-from-an-llm-90e73e4f22ee
1•mchav•27m ago•0 comments

Engaging healthily with chess: an Acceptance and Commitment therapist's guide

https://lichess.org/@/tackyshrimp/blog/engaging-healthily-with-chess-an-acceptance-and-commitment...
1•hkopp•29m ago•0 comments

Ask HN: Will non-technical users stop using apps and start generating them?

2•arbayi•30m ago•2 comments

How to Teach People SQL

https://dataschool.com/how-to-teach-people-sql/
1•saikatsg•31m ago•1 comments

Faster zlib/DEFLATE decompression on ARM64 and x86

https://dougallj.wordpress.com/2022/08/20/faster-zlib-deflate-decompression-on-the-apple-m1-and-x86/
2•fanf2•31m ago•0 comments