@codewzubair · X

ExpenseSumo is for anyone tired of budgeting apps that demand bank access. Manual entry, fully private, just a clear view of where your money goes:

@findik1140 · X

Check out what I just built with Lovable!

@Post_PrivaScan · X

Most privacy policies describe a website that doesn't exist — PrivaScan scans what yours actually does, generates one that's true, and keeps it true as the site changes.

@iliadubovtsev · X

> to check your vendor's privacy ✅️ > to look up global privacy laws 👁 > to make data transfer assessments and heavy analysis 💪 Official website is 💫

@yvesdalyy · X

wowinter15 · HN

Voris: privacy-first analytics for the AI-influenced web

@PrivacyPulse4U · X

Most data privacy tools rely on slow manual requests. At our AI agents continuously scan, identify, and automatically remove personal data from data broker sites—then monitor 24/7 to block relistings. Automated pipeline = hyper-scalable protection. 🛡️⚡

@strugglecoder · X

Became a dad 6 weeks ago. First night home, 3am, baby on one arm. I go to log a feed and the app wants a subscription. Next one shows me an ad. So I built my own. Free, no account, no ads. 🍼 One tap, one hand, in the dark Learns your baby's rhythm, not an average baby's Every health claim links to the AAP/NHS/WHO page it came from Scan a QR and both phones share one log One-page summary for the paediatrician visit Milk range for your baby's actual weight White noise + lullabies that survive the lock screen Works offline. Your data stays on your phone. I improve it every time I hit something I actually need at night. That's the whole roadmap. Stack: React 19, TypeScript, Vite, Tailwind, Radix, hand-built charts (no chart library), PWA, Cloudflare Workers + Turso for the optional sync. Basically all vibe coded with Claude Code. Source is MIT, judge freely. 💻 #buildinpublic #indiehackers

@ayan11200 · X

try this one Free solution

@BinaryScriptar · X

Introducing Traks - free, self-hosted web analytics that runs entirely in your own Cloudflare account. 🚀 It started as a side project. When Cloudflare launched R2 SQL, I wanted to see whether a complete analytics stack could run on their data platform alone: ingest events through Pipelines, land them in R2 as Parquet, and query them straight with SQL. No warehouse, no ETL, no servers to patch, just my personal projects as the first test bed. It worked better than i expected, so I kept adding new features. A few weeks later it's a complete product. What Traks does • Real-time dashboard: visitors, pageviews, bounce rate, visit duration - every metric compared with the period before • Pages, referrers, UTM campaigns, and an AI tab that shows which assistant (ChatGPT, Claude, Perplexity…) sent the visitor • Locations and devices, resolved at the edge without storing IPs • Custom events, goals (incl. path-prefix goals), funnels, saved segments, workspaces & teams • A

@13_narcissus · X

I am on my road to 1K followers, you are near so, let's connect!

@Bogdan266624 · X