Other1 month ago
APIs & datasets for the platforms that matter | Happy Endpoint
Access web-scraping APIs and bulk datasets for real estate, travel, and retail sectors with free samples.
@happyendpointhq · X
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64 projects
Access web-scraping APIs and bulk datasets for real estate, travel, and retail sectors with free samples.
@happyendpointhq · X
Scans AI-built apps to find security issues like exposed databases, leaked API keys, and authentication flaws.
@Sentrint · X
Made Sentrint after seeing how many vibe-coded apps ship with RLS switched off. Point it at a GitHub repo and it finds open user tables, exposed keys and auth checks that only run in the browser. Free scan is the whole scan, no card.
Route AI API calls to different models based on budget, stability, or performance needs.
@RunPei83973 · X
Claude Code users: Did you know API routing can significantly reduce AI costs? We built VIAPI to test different AI routes: Budget → lower cost Stable → production Pro → high availability
Reader gives AI agents reliable web context by turning URLs into clean Markdown, structured JSON, crawl results, and browser sessions.
@nihal_was_here · X
One API to send WhatsApp, SMS, OTP codes, and transactional emails.
@amifideles_ · X
Built SendAPI, solving the complexity of managing multiple messaging providers by bringing WhatsApp, SMS, OTPs, and transactional emails into one API. Built for developers and startups.
@Joi2James https://t.co/7ZFmHP3pof
@nevermindeither · X
Describe an API in plain language — it's running in two minutes.
@apinido_dev · X
Create branded developer portals from API specs and documentation with AI-assisted writing.
@jitendraballa · X
Compare how different AI models generate frontend code and view accessibility scores.
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •
Reduce AI API costs using smart caching, model routing, and prompt compression.
@PrathamGup34482 · X
Day 1 of building in public. TokenSave: a proxy that automatically reduces AI API costs — caching, model routing, compression. Up to 40% savings, zero code changes. 0 users. 0 revenue. Just shipped the MVP. Gonna share the real numbers every week here.
Route API requests to multiple AI models—OpenAI, Anthropic, Gemini—using one API key.
@AstroBo71280348 · X
Hi , I build for indian developers to access all ai llm models on one platform,it also supports UPI payment no visa credit card required,It is more transferent and better then openrouter
Upload any receipt image via API and get clean, structured JSON back in seconds. Built for developers who need accurate receipt data at scale.
@vernroq · X
I made a receipt parser api: