Tiker

Tiker

Indie Hackers

Your to-do list, done for you

Built to automate my own busywork - email, research, data tasks. Instead of juggling multiple AI tools, Tiker orchestrates specialized agents from one dashboard. Soft beta, growing users.

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Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, user · Missing: mac, macos, cursor
75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoMay struggle as an AppSumo deal · Missing: reviews, intuitive, videos
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ai · Missing: api, 000, profitable
28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, created, podcasting
28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Missing: https docs, just released, open source
27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, just like, small businesses
17%17% 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
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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NoList, a To-Do List that is not a list.

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Drillbit. Who's on your mailing list?

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List of PhDs that produced the most PhDs46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

List of PhDs that produced the most PhDs

Hacker News6
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List of PhDs that produced the most PhDs46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

List of PhDs that produced the most PhDs

Hacker News1
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List of Svbtle Writers68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

List of Svbtle Writers

Hacker News2
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List of Episodes24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

List of Episodes

Hacker News1
welm
welm41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Prioritized to-do list

Indie Hackerscommitment-side-project
List My Mrr
List My Mrr40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TrustMRRAnalytics