After 4 weeks of beta testing on TestFlight, I finally launched my app on the App Store 2 days ago. To my surprise, I hit 300 downloads in 48 hours, all from Reddit, without spending a dollar.
Most mobility apps try to do too much. Some overload users with features. Others focus only on growth without solving real transport friction. In both cases, daily commuters eventually stop using them.
In this Idea Usher review, an independent technology services reviewer evaluates GURARIDE, a bicycle and e-scooter renting platform operating across Rwanda. The goal is not promotion or hype. Instead, this review looks at the system from a builder s perspective to understand how well the product solves actual first- and last-mile mobility problems.
Solo indie dev here. After months of building in public, my Mac app, Motivv, is up on Product Hunt today.
It's a focus tracker that doesn't just count minutes; it grades them. Focus blocks (sustained work) vs. drift moments (rapid switching), with an honest work rate at the end of every session.
7.99 once, no subscription. SwiftUI native, dark by default.
SMBs (5 to 100 people) sit in a gap between analytics advice written for solo founders and advice written for Fortune 500 data teams. Neither fits.
This post covers what good dashboards, reports, and OKRs actually look like at that scale. Tools by stage. The mistakes most teams make.
The most expensive mistake is over-tooling, not under-tooling. Looker for 5 people is worse than a spreadsheet.
Most starting-up SaaS have all the possible integrated tools collecting data, but no data analyst to make it work for them.
claribi.com is live now!
Most analytics advice online is written for one of two audiences. Big data teams with a Snowflake bill and a Looker license. Or solo founders running everything in a Google Sheet.
If you sit between those two, running 5 to 100 people with revenue data scattered across Stripe, HubSpot, your product database, and a CSV your ops person updates every Monday, none of that advice fits. You end up either buying enterprise tooling that nobody on the team has time to use, or stitching together spreadsheets until they collapse on you.
Hey PH I m micheal, founder of PhishGuard AI an AI-powered email threat detection platform built for organizations that are tired of getting hit by phishing, Business Email Compromise, and social engineering attacks that bypass every standard filter. After losing money to a BEC attack and realizing the market had nothing that caught the behavioral layer of email threats, I built it myself. What PhishGuard AI does: Multi-LLM phishing analysis Behavioral anomaly & psychological trigger detection Sender profiling & threat intelligence enrichment Microsoft 365 integration + SIEM support Automated incident response & executive reporting It s built for IT teams, MSPs, and CISOs who need more than Defender and spam filters. Would love honest feedback especially from anyone who s dealt with BEC, runs an MSP, or works in security. https://huggingface.co/spaces/Sa...
We ve been talking with marketers and PMs who often wait weeks just to get a simple promo banner or popup live. Usually it s because of dev queues, approvals, or CMS limitations.
Like many of you, I've seen creators lose their reach or monetization overnight because of "silent triggers" in the first 5 seconds of their videos or messy metadata.
To fix this, I ve been building getshadowguard.com an automated tool that maps out the overlap between YouTube's Content ID and TikTok s real-time moderation. It lets you scan your video drafts for automated policy violations and shadowban flags before you hit upload.
Right now, we have a 150MB file limit for testing, and we are working on expanding it.
