iGroups.io

iGroups.io

Indie Hackers

Group system with privacy first. No facebook, no Google etc

This site has been my "baby" for years, but unfortunately it mostly did not get the needed attention, because of my prior work as an engineer. But now i have "guit" this consultant line of work, and focus 200% on iGroups

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
65%65% 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 · Strong signals: google · Missing: mac, agents, macos
61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
30%30% 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
26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

So
SortLikes – Group your Facebook interests33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SortLikes – Group your Facebook interests

Hacker News3
Fa
Facebook Privacy scanner43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Facebook Privacy scanner

Hacker News4
Th
The Next Job – find out how many moved from Google to Facebook and more49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Next Job – find out how many moved from Google to Facebook and more

Hacker News2
Go
Google, but Respects Your Privacy46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Google, but Respects Your Privacy

Hacker News4
NoolQuest
NoolQuest42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Google, but respects your privacy

Indie Hackerscommitment-side-project
WH
WHOIS for Facebook44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WHOIS for Facebook

Hacker News1
Fa
Facebook + Moustaches = Facetache44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Facebook + Moustaches = Facetache

Hacker News10
Fa
Facebook stockvalue (prettified)44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Facebook stockvalue (prettified)

Hacker News26
Bo
BoxenBase - Facebook for neckbeards. Battlestations, rigs, etc.44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

BoxenBase - Facebook for neckbeards. Battlestations, rigs, etc.

Hacker News1
Facebook
Facebook41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I founded facebook in july 2018

TrustMRRSocial Media