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CallFirst – blocks socials until you've made a call to someone

Hacker News

CallFirst – blocks socials until you've made a call to someone

Hi I'm Ben. I'm a product manager in London and I've been building this solo. CallFirst blocks socials until you make a phone call to someone, on a schedule you set. I made this because I found myself meaning to call my mum/mate/etc but ended up doomscrolling instead. A couple of things on the approach 1/ I don’t see any contact information, none is shared back with me, 2/ I don’t actually know you’ve made a phone call - I know you’ve been away from the app for more than 60 seconds, but my early testers found the nudge to stop doomscrolling and be reminded it’s time to call someone to be enough to get them to make the call! 3/ The hardest thing was stopping different Android phone makers from killing the social app monitoring I need to run. I only have 2 test phones, so had to find friends with different handsets! It’s always free for one contact, one schedule and to block one app, and comes with a free trial for unlimited blocking. Ping me if you want more of a trial via the contact form in the app. I'd love feedback especially on the parts that feel like friction for the sake of it. Thanks!!

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2points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
31%31% 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
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
21%21% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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