My

My app got featured in 2 German publications and crossed $1K in sales

Hacker News

My app got featured in 2 German publications and crossed $1K in sales

Hey HN, I'm a solo developer and I built Steps: Workout & Pedometer, an iOS pedometer and workout tracker. Last week, two German iOS publications wrote about the app. I didn't pitch them. I didn't send a press release. I didn't even know it was happening. I woke up to a spike in downloads, checked the analytics, and traced it back to their articles. That coverage pushed the app past $1,000 in sales. I still have no idea how they found the app. I'm wondering if anyone here has experience getting featured in publications, whether organically or through outreach. What worked for you? Any tips for a solo dev trying to get more press coverage? Here are the links to the articles: - https://www.iphoneblog.de/2026/02/21/steps-visualisiert-das-... - https://www.iphone-ticker.de/schrittzaehler-mit-mehrwert-com...

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: visual · Missing: mac, agents, macos
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, 000, io · Missing: https docs, excited, just released
39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

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