Twidd

Twidd

Indie Hackers

Twitter CRM that completely lives in your browser

My audience for Testkit lives on Twitter, so I had to scale up sending Twitter DMs, which was an endless cycle of copy and paste until that point. So I built Twidd!

Share card

Actual performance

2followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
68%68% 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
57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
27%27% predicted probability of success on TrustMRR, 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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
16%16% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Ribbon Social
Ribbon Social

Completely Automated Twitter Marketing

BetaList
Tw
Twitter Overhead Projection44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Twitter Overhead Projection

Hacker News1
Tr
Trying to bootstrap my biz with Twitter bootstrap63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Trying to bootstrap my biz with Twitter bootstrap

Hacker News2
Ho
Hooking up Twitter with Angellist47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hooking up Twitter with Angellist

Hacker News1
sw
sweepstakes + Twitter = TweetStakes63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

sweepstakes + Twitter = TweetStakes

Hacker News7
Tw
Twitter in London50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Twitter in London

Hacker News1
Th
ThemeForest for Twitter Bootstrap51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ThemeForest for Twitter Bootstrap

Hacker News7
Di
Discreet Twitter buttons41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discreet Twitter buttons

Hacker News16
My
My NBA + Twitter mashup26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My NBA + Twitter mashup

Hacker News98
A
A Twitter and IMDb mashup.47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Twitter and IMDb mashup.

Hacker News1