ai

aifurniture

TrustMRR

B2B Website Widget E-Commerce

Share card

Actual performance

2customers
$1MRR/mo
Did not reach leaderboard

Traction signals

Domain Rating42

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
64%64% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
37%37% 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
33%33% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

a
a simplistic e-commerce website41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

a simplistic e-commerce website

Hacker News1
E-
E-commerce data scraped from any website40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

E-commerce data scraped from any website

Hacker News2
Mo
MongoDb widget for Dashing45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MongoDb widget for Dashing

Hacker News4
Co
Commerce – Drop in e-commerce for any website58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Commerce – Drop in e-commerce for any website

Hacker News17
Bi
Bizongo – One stop solution for all B2B e-commerce40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bizongo – One stop solution for all B2B e-commerce

Hacker News3
A
A full-featured e-commerce website based on Django accepting Bitcoins44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A full-featured e-commerce website based on Django accepting Bitcoins

Hacker News2
B2
B2B e-commerce platform for hydraulic and pneumatic parts51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

B2B e-commerce platform for hydraulic and pneumatic parts

Hacker News2
Amaya
Amaya37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

E - commerce

Indie Hackerscommitment-side-project
Oscar Sells
Oscar Sells26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

E-commerce

Indie Hackers
Violet
Violet49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Plaid for E-Commerce

Indie Hackers9apis