
Link Preview & URL Metadata API | Metarabbit
Extract Open Graph tags, X/Twitter Cards, titles, descriptions, favicons, and optional AI summaries from any URL with one fast API call. Start free.
@jrzscodes · X
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Extract Open Graph tags, X/Twitter Cards, titles, descriptions, favicons, and optional AI summaries from any URL with one fast API call. Start free.
@jrzscodes · X
Have you seen

Browse and copy production-ready Node.js backend components inspired by shadcn/ui
@_akkal_dhami · X

Create branded short links and landing pages with custom domains and campaign analytics.
u/Complete-Ad1611 · Reddit
What are you building right now? I want to check out real Micro SaaS projects Hey everyone, I spend a lot of time reading about SaaS ideas, but honestly, I find it much more interesting to look at what people are actually building. So if you’re working on something right now — a Micro SaaS, MVP, landing page, Chrome extension, bot, internal tool, AI wrapper, marketplace, dashboard, or even something rough and half-finished — drop it in the comments. It doesn’t need to be polished. In fa

@Joi2James https://t.co/EX6jR2itEt https://t.co/sXaN7QuPuY
@SamEkeNnamdi · X

Drag-and-drop AI resume parser that extracts data, scores resumes, and exports to Excel or JSON.
@VortixDataAi · X
🚀 VortixData AI: Parse PDFs/Docs < 1s! • Bulk export (Excel/JSON/JSON-LD) • 0-100 contextual ATS score • Live analytics stats dashboard 💥 50 extra free credits for first 50 users / Special corporate offer! • Non-expiring Token packs start at $18

Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

ScrapingDaddy helps developers and businesses extract public website data at scale with a reliable API, JavaScript rendering, geo-targeting, and simple integration.
@tadyav · X

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

Put your project's live numbers — GitHub stars, uptime, users — on one page you share. Like Linktree for your infrastructure.
@haukejung · X
Show your stats and keep your projects in view with Claim for just 29 $ ✌️

The smarter way to shorten, track & share links. URL shortening, click analytics, personal bio pages, and QR codes — all in one place.
@ClickHQco · X
Come check us out! -

Countries ranked live by confirmed contributions from the businesses and people who back them. Explore every country's board of backing businesses, sponsored links, and the race fo
@soyAlvaroMarin · X
I’m building Back Your Country — a global directory where projects get exposure from $1 while representing their country in a live ranking. Spain leads, with Argentina now chasing:

API to extract data from 44 social media platforms through a unified interface.
u/dooddyman · Reddit
I launched 2 SaaS. First failed brutally. Second hit $5k MRR in 3 months. What worked and didn't. tldr: My first AI SaaS failed because I built blindly, outsourced marketing, and had no clear ICP. My second product hit $5k/mo in 3 months because I built an audience first, obsessed over SEO and distribution, and targeted a specific niche. I launched my first AI SaaS last year, kept it alive for about a year now. It's making less than $50 mrr and i'm thinking of closing it. Here's what went