Adsoup

Adsoup

Indie Hackers

Give your software products the attention they deserve

Adsoup is a formidable advertising platform built for small technology businesses looking to promote their software products.

Share card

Actual performance

1followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
38%38% 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
32%32% 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
24%24% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% 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
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

RankArena
RankArena44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discover Products Competing for Attention

Product Hunt+1
Py
Pytorch implementation of seq2seq model with attention and pointer31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pytorch implementation of seq2seq model with attention and pointer

Hacker News2
Launch Nest
Launch Nest30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Great Products Deserve to Be Discovered

Indie Hackers1ai
Cy
Cybersalience – Guiding user attention using transformer attention37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cybersalience – Guiding user attention using transformer attention

Hacker News3
FO
FOMO – See what your community pays attention to34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FOMO – See what your community pays attention to

Hacker News3
launch Nest
launch Nest18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Good Products Deserve More Than One Launch Day

Indie Hackers1ai
A
A cartoon intro to how the attention mechanism works56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A cartoon intro to how the attention mechanism works

Hacker News63
MidasIndex
MidasIndex49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Press Bootstrappers Deserve

Indie Hackers1communication
Mi
Minimal Paged Attention36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Minimal Paged Attention

Hacker News3
At
Attention Tracking and Time Tracking Software37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Attention Tracking and Time Tracking Software

Hacker News1