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@Joi2James https://t.co/RU3dfDNswE
@AubreylogicAi · X
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Tech stack
60 projects

@Joi2James https://t.co/RU3dfDNswE
@AubreylogicAi · X

Validate product ideas against public user discussions to decide whether to build, narrow scope, or pivot.
@_sunbo · X
I built ProductIdeaScout to help founders validate product ideas before they start building:

AI tool that discovers hidden bugs in your application using verification analysis.
@uriel_bitton · X
As you add more features to your vibe coded app, you increase the chances for bad behaviour. The worst part is you dont know they exist Every beta user i've had try out the app told me they found a few issues they had no idea existed Find yours using

AI scans competitors and market data to validate if a startup idea is worth building in 90 seconds.
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.

Verify email addresses in bulk at 99.2% accuracy for $0.35 per 1,000.
@ilyesnamous1 · X
Sealch ( Email verification, priced honestly. Same live SMTP check and catch-all detection as ZeroBounce/NeverBounce, but $0.35 per 1,000 instead of their ~$8. Solo bootstrapped to ~$500 MRR over the last 6 months.

Query social media data via REST API and MCP server for AI agents and creators.
OneInterface · GitHub
stormy-cookbook Open-source cookbook for the Stormy Social Data API and MCP server (Model Context Protocol) — one REST API for the TikTok API, YouTube API, Instagram API, LinkedIn API, X (Twitter) API and Reddit API. Search creators, resolve profiles, read posts and find verified emails from Claude, Cursor, Codex, ChatGPT or curl. One key, no scrapers.

Ask questions about Scripture and get AI-backed answers with every claim cited to specific verses.
u/zx9rams · Reddit
I built a Bible tool designed so the AI can't just make things up. I've been building this for a while and the part I actually care about is the architecture, because an AI that reads the Bible is exactly the thing nobody should trust by default. So its built the opposite way, the model is treated as untrusted and the code owns every real decision. every quote is checked word for word against the Hebrew and Greek before it shows, so the model cant paraphrase scripture into an answer eve

Monitor status and metadata-based problem signals for AI tools.
dobby_lee · HN
Open-Source for AI tool status checker

API for accessing institutional-grade financial data, optimized for AI and developers.
u/wisesheets · Reddit
Most stock APIs are very expensive, have tons of data mistakes, and are not built for AI. Most stock APIs are expensive, have data mistakes, and are not designed for AI, so we built one. We recently launched the Wisesheets API and MCP server after repeatedly running into the same problems with financial data providers. Some APIs cost hundreds or thousands of dollars per month. Others have strict request limits and make it difficult to pull bulk data for screening or broader market analy

Check company legitimacy by analyzing WHOIS, SSL, DNS, and trust signals to get a trust score.
@CoderJiii · X
🚀 Just launched Veris — a platform that helps verify company legitimacy using WHOIS, SSL, website, contact, social, and legal checks to generate a Trust Score & Risk Level. 🌐 #BuildInPublic #OpenSource #FullStack #React #NodeJS

Generate realistic mock APIs with response rules, variables, and AI-assisted setup for development testing.
u/Not_Imagine · Reddit
I built a tool to instantly generate mock APIs instantly with AI Hi everyone, We all run into the same frustrating bottleneck on projects: the UI is ready to go, but the backend API isn’t finished yet and we need to resort to hardcoding mock data. This, however cannot reproduce edge cases like rate-limiting, network latency, or 500 errors. To solve this, I built SynthAPI https://getsynthapi.com/ It's a developer tool that lets you generate live mock API endpoints in se

@joovier_ https://t.co/keG2Rl4hD4 data analysis app. Check out
@MourynCher16712 · X
data analysis app. Check out