Bragly

Bragly

Indie Hackers

Collect, Manage, & Share Testimonials Easily

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
84%84% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
45%45% 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
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
22%22% 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
14%14% 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
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Feedspace
Feedspace46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect, Manage & Share Testimonials

Indie Hackerscommitment-full-time
Shapo.io
Shapo.io56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Easily collect, manage and showcase your best testimonials

Indie Hackers1b2b
Te
Testimonial.to – Collect Video Testimonials41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Testimonial.to – Collect Video Testimonials

Hacker News18
Testimonial
Testimonial26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect video testimonials

Indie Hackers11saas
I
I made a platform to collect, manage, and analyze testimonials with AI29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a platform to collect, manage, and analyze testimonials with AI

Hacker News1
Sindo
Sindo40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Effortless AI-powered testimonials: collect, manage & share

Product Hunt+243Marketing
Bragly
Bragly52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect, Manage and Analyze Customers Testimonials

Indie Hackerscommitment-side-project
Shapo
Shapo39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect, manage and display testimonials effortlessly

Product Hunt+269Marketing
Boast
Boast52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect and share customer stories and video testimonials.

Indie Hackerscommitment-side-project
Review Butler
Review Butler35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect More Testimonials with AI

Indie Hackerscommitment-side-project