TechRewind

TechRewind

Indie Hackers

Explore your favorite tech products, then and now.

Nostalgia made me do it, really. The products you see on ⏪ TechRewind are mostly the ones I grew up using and expanding everyday.

Share card

Actual performance

2followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
54%54% 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 HuntUnlikely to reach the leaderboard · Strong signals: using · Missing: mac, agents, macos
46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
29%29% 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
24%24% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Te
TechRewind – Explore your favorite tech products, then and now41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TechRewind – Explore your favorite tech products, then and now

Hacker News1
I
I made a Metacritic for tech products42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a Metacritic for tech products

Hacker News8
GumHunt
GumHunt32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discover your next favorite Gumroad products

Indie Hackerscommitment-side-project
allido
allido47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect, explore, and discuss all of your favorite hobbies.

Indie Hackers2social-media
The Next Tech
The Next Tech32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Products Tech Review

Indie Hackerscommitment-side-project
HN
HNfavorites – Explore the community's favorite content41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HNfavorites – Explore the community's favorite content

Hacker News80
I
I made one place to explore all products posted on many platform54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made one place to explore all products posted on many platform

Hacker News5
Ex
Explore EBNF Grammars Interactively59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Explore EBNF Grammars Interactively

Hacker News6
Ex
ExploreTrees.SG – Explore trees in Singapore60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ExploreTrees.SG – Explore trees in Singapore

Hacker News1
Ex
Explore every Winter Olympic medal since 1924 with D349%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Explore every Winter Olympic medal since 1924 with D3

Hacker News1