Launch Intel
En

Engage followers – Reduce range dump, Increase meaningful discussions

Hacker News

Engage followers – Reduce range dump, Increase meaningful discussions

I think that most of us spend our time on Twitter usually in rage dumping because we're forced to interact with random people without common interest. I believe if we could interact with people with common interests on Twitter then we can build meaningful relationships with them. Fortunately we do have access to people on Twitter with common interests - Our followers; But it's currently not easy to spot what connects us with our followers as we might not follow back all our followers and even if we do there's no guarantee that we'd see all their tweets or those tweets which matter to us. Hence I've created 'engage followers' and it works by, 1. Monitoring the tweets of our Twitter followers. 2. Classifying their tweets according to our chosen topics of interest. 3. Sending the list of tweets which matches our topics to us via an email digest and/or Auto liking them(So we can check those tweets in the likes section of Twitter). I've seen good results over the past week since I've launched engage followers, Getting to know about some like minded followers on my personal & product accounts. I hope you'd give it a try and tell me how it can be made more useful.

Visit productView on Hacker NewsJul 15, 2022
Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
67%67% 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: email · Missing: mac, agents, macos
60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
55%55% 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: personal · Missing: mobile apps, ios, entrepreneurs
40%40% 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
28%28% 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
17%17% 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.

Incorrect prediction on native model

Similar products

En
Engage with your Twitter followers to build meaningful relationships51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Engage with your Twitter followers to build meaningful relationships

Hacker News1
upleap
upleap64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

followers increase instagram

Indie Hackers
Di
Discussions everywhere24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discussions everywhere

Hacker News1
Di
Discussions everywhere60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discussions everywhere

Hacker News2
Di
Discussions everywhere60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discussions everywhere

Hacker News2
GoGyft
GoGyft35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The most meaningful gyft you can give.

Indie Hackers2communication
Lead Honestly
Lead Honestly28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Actively engage your employees with meaningful 1-on-1s.

Indie Hackers
Yo
YouPoll – approval and range (score) polls to increase group happiness36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

YouPoll – approval and range (score) polls to increase group happiness

Hacker News1
BirdMojo
BirdMojo75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Engage with Anyone's Twitter Followers using Lists

Indie Hackers1saas
In
Increase ye WPM with TMS67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Increase ye WPM with TMS

Hacker News1
Browse all productsAnalyze your launch