RevSync – Turn your Twitter followers in newsletter subscribers

Hacker News

Hi Indiehackers! I created a way to help newsletter creators grow their newsletter! A couple of weeks ago, Twitter announced they were enabling content creators to add a "subscribe" button to their Twitter profile! This is super exciting and might be a gamechanger for a lot of creators, but there is just one big problem... New subscribers will be added to Twitter's newsletter tool, called Revue... Switching to Revue is a lot of work Revue is missing some critical features Revue can get pretty expensive What if I told you that you can now use the new "subscribe" button, without having to switch to Revue? Introducing RevSync RevSync makes it easy to capture new subscribers via your Twitter profile and sync them to your current newsletter tool! Grow your newsletter Set up once, use forever Cheap EarlyBird plan available

Visit product View on Hacker NewsOct 2, 2021

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1points

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

81%81% 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.

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

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

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

49%49% 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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: subscribers · Missing: arr, mrr, revenue

16%16% 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

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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