CallStop – Superhuman for your phone number

Hacker News

Robocalls and unwanted calls are one of the biggest hassles these days. Over 50% of phone traffic is spam. I'm the founder of CallStop: https://apps.apple.com/us/app/callstop/id1455892856 CallStop allows you to: - Block 100% of robocalls on your current number, using your contacts as a whitelist - Effortlessly email call invites to an any email (that can be joined in one tap, the PIN is embedded), where the recipient can only call you starting 5 minutes before the meeting start and up until 5 minutes after the meeting end - Pause call filtering and have it automatically resume after a certain time - Accept whitelist requests to join your whitelist, and receive notes from the callers prior to accepting - Specify PINs you can give to loved ones or groups to reach you from unknown numbers. - Get a second phone number with which you can give out in lieu of your primary. CallStop is a productivity tool that lets you better manage your time and who can reach you. If you're expecting a call from a business from an unknown number, or want to limit a salesperson from calling you more than once, CallStop is perfect for managing these interactions.

Visit product View on Hacker NewsFeb 1, 2020

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91points

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Product HuntOn track for Day 1 leaderboard · Strong signals: apple, apps, email · Missing: mac, agents, macos

77%77% 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

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: apps · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: calls · Missing: plus, platform, intuitive

33%33% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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