Need Beta Testers for Taskified – AI Email Software

Hacker News

Hey guys! We are developing Taskified - an email software that uses AI to write and summarize emails for you. We are opening up our closed beta, and have a couple spots for people who are eager to boost productivity and stop wasting time on email! Our application works inside of a google extension, so you can send emails on the go without ever having to log into gmail! When it opens up, it displays your inbox, where each email will be summarized into one sentence, so you dont need to waste time reading them. Secondly, we use AI to write your emails for you, customized with a tone and context filter, to suit your needs. We are offering to give the first 100 beta users (80 spots left) 2 free premium accounts (1 for a friend) for 6 months after launch. All we ask for is some honest feedback on the software! If you are interested, drop a comment here or visit https://www.taskified.co !!

Visit product View on Hacker NewsAug 9, 2023

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Actual performance

3points

5comments

Did not reach leaderboard

Launch Intel predictions

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

67%67% 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

54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

26%26% 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 · Missing: arr, mrr, revenue

18%18% 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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