Dylan Balzer

Dylan Balzer

TrustMRR

A simplified business, tech & startup news app.

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
58%58% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
31%31% predicted probability of success on TrustMRR, 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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
15%15% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
14%14% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

SlashCafe
SlashCafe27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simplified tech news

Indie Hackers1news-magazines
DiggerInsights
DiggerInsights56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tech news about startup, business and emerging technology. Q

Indie Hackers
logvoid
logvoid33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Analyzing business and tech news sentiment with NLP and AI

Indie Hackerscommitment-side-project
Techchahiye
Techchahiye45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Handpicked Tech News App

Indie Hackers1$50/monews-magazines
Se
SeriesF – The Onion for Startup News49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SeriesF – The Onion for Startup News

Hacker News63
PressDrop
PressDrop42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your startup on the news

Indie Hackers
Te
Tech news without all the fuss40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tech news without all the fuss

Hacker News2
Cr
Crowdsourced Tech News36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Crowdsourced Tech News

Hacker News1
FoundersPress
FoundersPress64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Publication dedicated to covering startup news and tech

Indie Hackers1news-magazines
STARTUP
STARTUP52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

BUSINESS

Indie Hackers