Innerbox

Innerbox

Indie Hackers

Onboard your customers with ease.

The current email experience is messy and chaotic. We're enhancing the email experience and enabling users to visualize their inbox in a brand new way and achieve Inbox Zero.

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Actual performance

2followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, inbox · Missing: mac, agents, macos
82%82% 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.
TrustMRRFits verified-revenue profile · Strong signals: visualize, users, way · Missing: mobile apps, ios, personal
59%59% 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
50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
44%44% 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: users · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
26%26% 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
14%14% 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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BetaList
Id
Identifying, Segmenting and Contacting our Customers51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Identifying, Segmenting and Contacting our Customers

Hacker News11
Ou
Our first three featured customers57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Our first three featured customers

Hacker News3
Trustable
Trustable35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect video or text testimonials from your customers with ease

AppSumo5
Cl
Clamping multiline text with ease42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Clamping multiline text with ease

Hacker News1
Cu
Customers are your best advertisers51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Customers are your best advertisers

Hacker News9
SkipTracker
SkipTracker21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Manage your skips with ease

Product Hunt+4
Ng
Ng-classy – Use Angular 1 and ES6 with ease38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ng-classy – Use Angular 1 and ES6 with ease

Hacker News23
Sh
ShipIT – From Customers to Product43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ShipIT – From Customers to Product

Hacker News2
Novaseed
Novaseed21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find customers already asking for your product

Indie Hackers