
Zero Traps Trip — Travel smart + Avoid Traps
Get safety information about destinations to help travelers avoid tourist traps.
@RekonAstra · X
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Get safety information about destinations to help travelers avoid tourist traps.
@RekonAstra · X

Save and browse restaurants you want to try, helping you decide where to eat.
@danielendara · X
Sure! let's connect! My latest creation is

AI booking engine for Indian hotels with WhatsApp reservations and automated guest inquiry handling.
@SandeepHegde · X

Preview and evaluate content before publishing it online.
@petropavliuk · X
Hi mate. My projects

Analyze your landing page's conversion potential with a free inspector tool or book a custom design in 24 hours.
@rapidlander_ · X
I design and deliver landing pages in 24 hours for founders who are launching now. Free inspector on the site too, paste your URL and it scores your page on what actually kills conversions.

Score your social media posts on 312 factors before publishing.
u/Otherwise_Goose5292 · Reddit
I built an AI that scores your social post on 312 factors before you publish — roast my roaster Two of us are creators who got tired of the post-and-pray cycle: hours on a post, hit publish, hope, mostly flop, never know why. We realized the difference between our good and bad posts was never luck — it was hook, CTA, timing, caption. Fixable things. So we built Synthiya: paste a draft, pick your platform, and it grades it 0–100 across 13 categories (312 factors) and tells you exactly what t

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

AI tool that picks a restaurant or nightlife spot in Toronto for you in under 10 seconds.
gurunoor_singh · Product Hunt
eatsTO — What's the move tonight? AI-powered food discovery that actually picks for you.

Search and view bus routes across England on an interactive map.
@Dave__Griffiths · X
Something similar I vibe-coded for buses:

Exchange anonymous daily notes with a matched stranger for 21 nights, optionally revealing identities.
@mymentally · X

Find verified sales prospects and launch personalized email campaigns based on your ideal customer description.
@buildwitbrandon · X

Your thinking from January is about to change your decision in July. Ovandor connects your thinking across time and surfaces what to do next — before you ask.
@amir_mehrabi_ · X
: Personal Intelligence