Nolly

Nolly

Indie Hackers

the missing tool for teams to engage users &collect feedback

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
59%59% 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.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
51%51% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
21%21% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Emojicom
Emojicom48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Engage and collect feedback using emojis 🤙

Indie Hackers2analytics
Savvee
Savvee56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect and manage feedback from your users

Indie Hackers1apis
A
A missing tool for Redis52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A missing tool for Redis

Hacker News5
No
Noticeable v2 – Engage users, get feedback and measure satisfaction38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Noticeable v2 – Engage users, get feedback and measure satisfaction

Hacker News1
BugFeedr
BugFeedr44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect product feedback from your clients and users.

Indie Hackers3communication
Exakt
Exakt44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect ongoing qualitative feedback in-app.

Indie Hackers1analytics
IdeaFit
IdeaFit39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The simplest way to collect users' feedback

Indie Hackers1saas
Modu
Modu45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect feedback and let users crowdsource your roadmap

Indie Hackers1ai
sitedynamics
sitedynamics37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect, monitor and user engage tool for your website

Indie Hackers1b2b
FeedMonkey
FeedMonkey51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Easily collect Insightful feedback from your Users!

Indie Hackers1advertising