Li

Lightweight SMS Marketing and Keyword Automation

Hacker News

Lightweight SMS Marketing and Keyword Automation

Share card

Actual performance

2points
2comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
89%89% 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 NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
33%33% predicted probability of success on TrustMRR, 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
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Hollerworks
Hollerworks49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple SMS Marketing

Indie Hackerscommitment-full-time
Jangoremit
Jangoremit48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Email & SMS Marketing

Indie Hackerscommitment-full-time
Business SMS Marketing Auto Reply App
Business SMS Marketing Auto Reply App43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Keyword based SMS Marketing Auto Reply App

Indie Hackers4$2,000/mob2b
Ke
Keyword miner37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Keyword miner

Hacker News7
Th
The Keyword Butler37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Keyword Butler

Hacker News2
UT
UTM Manager – Lightweight UTM persistence for marketing attribution32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

UTM Manager – Lightweight UTM persistence for marketing attribution

Hacker News1
Foore
Foore59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Marketing for SMBs - Google reviews, SMS , FB automation

Indie Hackers1b2b
Wo
Wolfrasms, a Wolfram/SMS mashup50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Wolfrasms, a Wolfram/SMS mashup

Hacker News5
Ha
Hacking SMS Voting63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacking SMS Voting

Hacker News18
Ha
HackerNews via SMS62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HackerNews via SMS

Hacker News3