@businessHunter_ · X

Business Hunter scans Reddit, HN and GitHub for real demand signals → tells you exactly what to build before you write a line of code.

@FasScale26 · X

We've created a platform for entrepreneurs to evaluate business ideas and to set up and run their businesses. We've launched it in the UK and are planning to roll out to other countries over the coming year.

@JamesAuble · X

Building something cool? List it on DealMyApp and get your project in front of thousands of founders, makers, and potential buyers. 🚀

@TradeWize1 · X

Building TradeWize — a risk-free platform to learn investing and trading. Start free on the investing track, then level up to charts, options and futures in a virtual-coin simulator. No real money involved. →

@paxtondang · X

@airemesdev · X

What if this is not for me? Have you tried our new product? checkout and see if what you're doing is actually for you 😀😀

@frankgitonga20 · X

Vibe coding your ideas 💡

@sony_ericson05 · X

cloud-based ERP for small businesses.

@joeblau · X

eli_yumnik · HN

I built a free app for New Yorkers to save money on groceries

kingchesco · HN

I know $90 for a dining app sounds absurd. And it’s not even an app; it's a wrapper for an LLM. But it is how it is built that makes it so expensive. I had to make a whole API just to call it (which because its own SAAS). All just to bypass dumb google reviews. Google Maps and reviews send people to places optimized for tourists and good copywriters. To find actual local hole-in-the-walls algorithmically, I had to first build that api (called BWENDI), a "spatial gravity" engine using 100GB+ of tweaked OSM, GeoNames, and other proprietary data. Instead of aggregating reviews, it mathematically calculates foot-traffic, throughput, transaction stats, and economic criticality among other factors. Bwendi is A Python/Node ETL pipeline feeding an LMDB-backed context API. It uses a proprietary 1MB binary grid served via Cloudflare Workers for millisecond edge reads with near-zero overhead, hosted in Switzerland. This was done of course to get the purest location context around every street

@chandlerwilcox · X