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Frontend devs hate waiting for backend APIs to be ready: So Raj Savaliya vibe coded an app that instantly generates mock data based on API schema, so you can keep building without waiting on the backend team.

Indie Hackers

146,348 subscribers

29,729 Aufrufe • vor 1 Jahr •via X (Twitter)

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Profilbild von Indie Hackers

Indie Hackersvor 1 Jahr

Vibe coding isn't just for games anymore. 🚀 Founders are using it to build real SaaS MVPs in days, not months. AI is writing 90-100% of the code. Here are 7 top-tier examples (bookmark this thread for inspiration):

Profilbild von Indie Hackers

Indie Hackersvor 1 Jahr

A new kind of analytics tool. @csallen vibe coded an app that turns your website into a city, so you can watch visitors walk from page to page in real time 😮 95% of the code was written by AI, using Cursor, Claude Sonnet 3.7, OpenAI's o1 pro, and Gemini 2.5 Pro.

Profilbild von Indie Hackers

Indie Hackersvor 1 Jahr

A recipe site you can control with your voice: You can talk through recipes and ask questions while you cook, all without touching your screen 🙌 YC partner @t_blom vibe coded this in a couple weeks with Windsurf, Claude Code, Gemini 2.5 Pro, and OpenAI's voice mode API.

Profilbild von Indie Hackers

Indie Hackersvor 1 Jahr

It’s hard to calculate whether SEO will be worth the time investment: So @ctwtn vibe coded a tool that estimates the revenue you can expect from your SEO efforts, plus how long it'll take you to see these returns.

Profilbild von Indie Hackers

Indie Hackersvor 1 Jahr

A penetration testing tool: You put in your website URL, and it spins up a multi-agent AI swarm to test for security issues. It’s fully open source, and it took @Sim0Rachidi two days to vibe code it with AI.

Profilbild von Indie Hackers

Indie Hackersvor 1 Jahr

An app to make content creation easier: @sebastianvolkis vibe coded a SaaS that scans trending news articles, picks the ones with the most viral potential, and generates short-form content. The MVP took 4 days. Then he launched with a webinar and sold £5.5k on the first day 🔥

Profilbild von Indie Hackers

Indie Hackersvor 1 Jahr

An affiliate marketing platform: @efesopoulos vibe coded a cheaper way to invite affiliates and watch them sell your product for you.

Profilbild von Indie Hackers

Indie Hackersvor 1 Jahr

An AI-powered form builder: Traditional online forms ask everyone the same questions, but @amrix_j vibe coded Chadform to adapt to each individual using AI.

Profilbild von Indie Hackers

Indie Hackersvor 1 Jahr

That's it! For deeper analysis and case studies, subscribe: ✨ Follow @IndieHackers, @csallen, & @ChanningAllen for more. If this post was useful: ♻️ Repost the first tweet 🔖 Bookmark this thread ❤️ Like to support more like it!

Profilbild von RTTS

RTTSvor 1 Jahr

API testing of interfaces is critical to determine if they meet requirements for functionality, reliability, performance, and security. Check out RTTS - the automated testing experts since 1996. #API #testautomation #integrationtest

Profilbild von Swapnaneel Kundu

Swapnaneel Kunduvor 1 Jahr

@s_r_x_9 A problem may be small, but solving it in a great way can create a significant impact on many people. Great project, Great idea💡

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Can AI create an app based on the database schema? I connected Supabase with tables to Lovable. Then asked it to create an app based on the schema! The AI picked up my intention and created a social app. With better prompting, this could be a new way of building an app!

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TimX | Million-Dollar UX Design 🚀

79,408 Aufrufe • vor 2 Monaten

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i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

Akshay 🚀

118,124 Aufrufe • vor 1 Monat

Wow! I wanted to learn Mobile App UI... So I vibe coded an app that taught me all the different components with vibecode.dev. I even added a "copy prompt" on the top of each page so I can reference the components in future apps I build. Should I put this on the app store?

Wow! I wanted to learn Mobile App UI... So I vibe coded an app that taught me all the different components with vibecode.dev. I even added a "copy prompt" on the top of each page so I can reference the components in future apps I build. Should I put this on the app store?

Emily Lambert

22,491 Aufrufe • vor 8 Monaten

I stopped waiting for a technical co-founder. In just 20 minutes, I created a fully functional startup — using AI. No fake demos. No drag-and-drop junk. No code. Just described my idea → Softgen AI built it: ✅ Backend logic ✅ Live database ✅ Clean frontend ✅ Deployed on the web I wasn’t building a landing page. I was creating a real product. If you’re sitting on an idea — stop waiting. Start creating. →

I stopped waiting for a technical co-founder. In just 20 minutes, I created a fully functional startup — using AI. No fake demos. No drag-and-drop junk. No code. Just described my idea → Softgen AI built it: ✅ Backend logic ✅ Live database ✅ Clean frontend ✅ Deployed on the web I wasn’t building a landing page. I was creating a real product. If you’re sitting on an idea — stop waiting. Start creating. →

D-Coder

35,938 Aufrufe • vor 11 Monaten

Waiting on Apple review (feels slow… pretty sure the review team is on Christmas break 😅). Used the time to vibe-code the onboarding again: more animations, more mascot moments → better brand recognition. Onboarding is now 14 steps before the paywall. Not sure if that’s too much, but after checking top apps in the space… most of them actually have even more 🤷‍♂️ Shipping while waiting. 💪 Tech Stack: – No code mobile app builder: Rork AI – Mobile: React Native (Expo) – IDE: Cursor – Frontend: Next.js – Payment: RevenueCat – Backend: HonoJS – Database: Supabase – Infrastructure: Railway – AI API: OpenAI (dropping the tech stack here because someone always asks 😂)

Alex Nguyen

96,386 Aufrufe • vor 6 Monaten

We met Lu earlier this year, who has been on an NHS waiting list for so long, the condition she's waiting to be diagnosed for has changed.

We met Lu earlier this year, who has been on an NHS waiting list for so long, the condition she's waiting to be diagnosed for has changed.

PoliticsJOE

18,443 Aufrufe • vor 1 Jahr

While waiting for Apple’s approval, I’ve been using my app daily to hunt down and fix potential bugs. And yeah, it’s honestly fun seeing how well it works, especially knowing that ~85% of it was built through vibe-coding 😌 Like I said before: “Vibe-coding feels amazing when you actually know how to code and understand how the system works.” Tech Stack – No code mobile app builder: Rork AI – Mobile: React Native (Expo) – IDE: Cursor – Frontend: Next.js – Payment: RevenueCat – Backend: HonoJS – Database: Supabase – Infrastructure: Railway – AI API: OpenAI (dropping the tech stack here because someone always asks 😂)

While waiting for Apple’s approval, I’ve been using my app daily to hunt down and fix potential bugs. And yeah, it’s honestly fun seeing how well it works, especially knowing that ~85% of it was built through vibe-coding 😌 Like I said before: “Vibe-coding feels amazing when you actually know how to code and understand how the system works.” Tech Stack – No code mobile app builder: Rork AI – Mobile: React Native (Expo) – IDE: Cursor – Frontend: Next.js – Payment: RevenueCat – Backend: HonoJS – Database: Supabase – Infrastructure: Railway – AI API: OpenAI (dropping the tech stack here because someone always asks 😂)

Alex Nguyen

81,626 Aufrufe • vor 6 Monaten

HIS VIBE CODING APP WAS HACKED and he almost lost $10,000 because of it After analyzing why this happened, we managed to find 3 most common mistakes that appear in the majority of vibe coding projects: • Misconfigured RLS • No backend rate limits • AI calls made from the frontend And vibe coding is actually not dangerous, you just need to pay more attention to these points when creating a project: • Protecting access to data • Limiting resource usage • Hiding all secrets on the backend • Controlling costs • Regularly doing security reviews It’s also important from the very beginning to give AI tools for improving code security And I talked about them in the article below👇

HIS VIBE CODING APP WAS HACKED and he almost lost $10,000 because of it After analyzing why this happened, we managed to find 3 most common mistakes that appear in the majority of vibe coding projects: • Misconfigured RLS • No backend rate limits • AI calls made from the frontend And vibe coding is actually not dangerous, you just need to pay more attention to these points when creating a project: • Protecting access to data • Limiting resource usage • Hiding all secrets on the backend • Controlling costs • Regularly doing security reviews It’s also important from the very beginning to give AI tools for improving code security And I talked about them in the article below👇

TolyaDV

45,570 Aufrufe • vor 1 Monat

had my apps first major security issue today 🙀 if you intercepted my app's call to anthropic, my api key became exposed so like if some guy that hated me wanted to soft hack my app, they could steal my api key to anthropic but like normal people would never have noticed this because its like just there to be seen on the ios app itself lesson learned: make sure the calls to apis are routed through backend supabase secrets rather than directly from the app ultimately, i had hard limits and monitors on the api key itself so no real danger was presented, but thank god someone pointed it out to me (even tho he did it to prove vibecoders suck at security or whatever)

had my apps first major security issue today 🙀 if you intercepted my app's call to anthropic, my api key became exposed so like if some guy that hated me wanted to soft hack my app, they could steal my api key to anthropic but like normal people would never have noticed this because its like just there to be seen on the ios app itself lesson learned: make sure the calls to apis are routed through backend supabase secrets rather than directly from the app ultimately, i had hard limits and monitors on the api key itself so no real danger was presented, but thank god someone pointed it out to me (even tho he did it to prove vibecoders suck at security or whatever)

ashen

63,943 Aufrufe • vor 1 Monat

I vibe coded an app (for free) using caffeine that helps you avoid parking tickets in San Francisco. Instead of relying only on recent parking data, it also stores historical parking data and uses that to generate heat maps on a 3D map 🤯 Inspired by: Riley Walz

I vibe coded an app (for free) using caffeine that helps you avoid parking tickets in San Francisco. Instead of relying only on recent parking data, it also stores historical parking data and uses that to generate heat maps on a 3D map 🤯 Inspired by: Riley Walz

AmSpeed⚡️

17,929 Aufrufe • vor 8 Monaten