Da

Daily startup growth trends

Hacker News

Daily startup growth trends

Daily startup growth trend: I analyze Indie Hackers startup growth trend and post my observation to help fellow founders learn what growth looks like at a very early stage. Today’s Growth Report: https://growthranker.com Growth Trend: Deco Slides - This is the third time Deco Slides has made it to the top growing revenue in the past month. Made their first sale in May 2018, and now making $14k/month. Their growth has been exponential in the past three months! Lead Cookie - Increased monthly recurring revenue by almost 23%. Almost doubled their MRR since July, now making a shocking $52k/month revenue! Propertyments - A property management platform who just made their first big sale, going from $10/month to $2000/month overnight! Interesting factor, they have posted an update on IH this week, there is a correlation! Fomo - Top marketers! Made it to the top traffic increase chart for the third time. They can triple their traffic since August and consistently growing to over 40,000 visitors monthly. Questions: Which growth trend looks interesting to you? How would you like this report to be improved?

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
72%72% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: month, monthly · Missing: mobile apps, ios, personal
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: mrr, revenue, growth · Missing: arr, profit, saas
42%42% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
31%31% 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
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Startup Riders
Startup Riders47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Surfing startup trends.

Indie Hackers1community
St
Startup Job Trends of 201944%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Startup Job Trends of 2019

Hacker News2
Co
Covid-19 Trends by Glimpse40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Covid-19 Trends by Glimpse

Hacker News2
Pr
Programmer Trends49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Programmer Trends

Hacker News4
OOIR
OOIR31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Trends in the sciences

Indie Hackers1$50/mobooks
Tr
Traction+ your startup's growth assistant36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Traction+ your startup's growth assistant

Hacker News4
StartupCrowns
StartupCrowns59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The startup social growth competition and exploration.

Indie Hackers3analytics
PluginTrends
PluginTrends72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Track daily growth trends for all WordPress plugins.

Indie Hackers1advertising
I’
I’m a startup nerd, I spend roughly 10h a week researching trends44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I’m a startup nerd, I spend roughly 10h a week researching trends

Hacker News3
St
Startup Growth Kit 3.036%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Startup Growth Kit 3.0

Hacker News2