Te

Text Messaging for All Platforms

Hacker News

Text Messaging for All Platforms

Share card

Actual performance

5points
4comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
63%63% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
57%57% 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 · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
32%32% predicted probability of success on Indie Hackers, 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.

Incorrect prediction on native model

Similar products

Ma
Matlab over text messaging57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Matlab over text messaging

Hacker News4
Ma
Make wordcloud from messages extracted from messaging platforms53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Make wordcloud from messages extracted from messaging platforms

Hacker News2
Yo
Yodel – Videochat Messaging54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Yodel – Videochat Messaging

Hacker News2
Fi
Fiotron – All in One Messaging54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fiotron – All in One Messaging

Hacker News4
Sk
Sketching and messaging = Sketchat54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sketching and messaging = Sketchat

Hacker News3
Me
Messaging App46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Messaging App

Hacker News12
We
We put together a messaging app over a beer brainstorm55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We put together a messaging app over a beer brainstorm

Hacker News5
Pi
Pip 2.0 – Canned Messaging App42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pip 2.0 – Canned Messaging App

Hacker News1
Ac
Actor Messaging platform56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Actor Messaging platform

Hacker News110
Gl
Glancy – An opinionated take on asynchronous video messaging50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Glancy – An opinionated take on asynchronous video messaging

Hacker News5