popcorn23

popcorn23

Indie Hackers

Startup Marketing Accelerator

While working as a CMO of venture backed startups, I realized that traditional marketing agencies are not startup-friendly at all. So I thought of a system where I can deliver high quality marketing services to startups.

Share card

Actual performance

1followers
$13,000MRR/mo
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: friendly · Missing: plus, platform, intuitive
40%40% 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
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
20%20% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
20%20% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Th
The 'stackoverflow' for startup marketing46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The 'stackoverflow' for startup marketing

Hacker News3
St
Startup Marketing Arsenal – Declare war on your marketing worries49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Startup Marketing Arsenal – Declare war on your marketing worries

Hacker News1
Da
Datawave – Startup Marketing Platform47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Datawave – Startup Marketing Platform

Hacker News2
My
My first startup - So Yummy54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first startup - So Yummy

Hacker News3
Re
Red Quintal - Not every startup is from the valley41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Red Quintal - Not every startup is from the valley

Hacker News1
St
Startup Competition... with explosives48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Startup Competition... with explosives

Hacker News2
My
My porn startup62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My porn startup

Hacker News21
Sh
Show HN : ThinkStartups - A Startup Unconference56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Show HN : ThinkStartups - A Startup Unconference

Hacker News26
My
My girlfriend's startup52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My girlfriend's startup

Hacker News46
st
startup to startup24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TrustMRRSoftware