Pondr

Pondr

Indie Hackers

Software that guides & tracks the innovation journey

We want to democratize access to the most modern innovation practices so any team/person can remain relevant in our rapidly changing world.

Share card

Actual performance

2followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
36%36% 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
32%32% 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
14%14% 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.

Correct prediction on native model

Similar products

Lo
Loading Indicator Innovation44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Loading Indicator Innovation

Hacker News14
Th
The Innovation of Loneliness47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Innovation of Loneliness

Hacker News1
Re
Redesigned hack.guides()44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Redesigned hack.guides()

Hacker News2
Op
OpenBallot, Aggregated SF/California Voter Guides55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpenBallot, Aggregated SF/California Voter Guides

Hacker News38
Ti
TipTour, A Tooltip that guides you41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TipTour, A Tooltip that guides you

Hacker News2
cookingdom Walkthrough Guides
cookingdom Walkthrough Guides53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

cookingdom Walkthrough,cookingdom Guides,cookingdom прохожде

Indie Hackers1$5/moadvertising
Get Around Italy
Get Around Italy17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Itineraries, guides, and curiosities about Italy

Indie Hackers2community
NIDAM: Innovation Asssitant
NIDAM: Innovation Asssitant22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automate your innovation w/ AI!

Product Hunt+5
DriftWatch
DriftWatch51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tracks your software dependency drift

Indie Hackers2open-source
Gu
GuideLab – in-app user guides for their entire journey64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GuideLab – in-app user guides for their entire journey

Hacker News4