
Maze
Organize and share your purchased items in a visual, shareable gallery.
@michaelaplesner · X
hey :) building @trymaze_app <3 it's like Pinterest for the things you actually bought.
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Organize and share your purchased items in a visual, shareable gallery.
@michaelaplesner · X
hey :) building @trymaze_app <3 it's like Pinterest for the things you actually bought.

@CricTalk29 https://t.co/wWE5v5hcRl
@arush_shar17296 · X

Order food from restaurants with delivery, make reservations, and pay on delivery or via Mobile Money.
@RaoulKone197812 · X
Check out what I just built with Lovable!

Find and compare agricultural biological products from an independent platform.
@timnuss · X
Trust layer for agriculture

Access 26 online tools for documents, photos, invoices, calculators, and planners.
@latent_node · X

Find restaurants where locals actually eat, filtering out tourist traps.
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

Learn about geopolitics, business, finance, and tech through curated explainers in 30-second or 3-minute formats.
@be_qrio · X


Write three daily gratitude entries to build calm habits and join a gentle community.
@TuloSaswat · X
It's not a startup to say. But a small initiative from my end.

Track meals and workouts via text or photo, get instant AI nutrition analysis.
@_FrenchSalmon · X
Building Aumaï, nutrition coach Spoiler alert: you can connect via MCP

Analyze Shopify and DTC sales data to find hidden profit leaks by SKU.
@okiela_io · X
Sales up but profit unclear? I help ecommerce sellers find hidden profit leaks by SKU. Send me 1 order export → 3 leaks:

Browse and buy premium shoes from Nike, adidas, Puma, New Balance, and Jordan.
@PaballoMot94275 · X
Check out what I just built with Lovable!