Co

Commerce – Drop in e-commerce for any website

Hacker News

Commerce – Drop in e-commerce for any website

Hey HN. I'm Matt White, co-founder of Commerce, along with Nathan Martin (centipixel) and Daniel Newman (over-engineered). Commerce is a drop-in e-commerce platform for any website from a single line of JavaScript. You can find us here: https://static.tools/commerce With this single include, you get a shopping cart, account registration and login (Email, Google, Facebook, etc), live shipping quotes, invoicing, and the ability to sell complex product variants (composite/configurable products, delta pricing, fractional pricing, wholesale pricing, etc). Much of this is configurable via an administrative interface we've built up alongside the product. From individual clients we've onboarded onto the system, we've already processed over 2 million dollars in transactions - a drop in the bucket compared to most of the other players in the market, but we're proud of it! Before Commerce, the three of us consulted full-time as a team with a focus on static/Jamstack sites. We have over 30 years of agency and consulting experience between us (we're all mid-30s). Commerce was born out of a need to supply an e-commerce solution to a client, while still maintaining a static build. It was so successful, we decided to split off the product as it's own business, and Commerce was born. As a company, we applied (late) to YC's W19 batch and didn't make the cut - and are currently working through Startup School as we work towards a full public launch. We're hoping to follow-up with a Launch HN in the coming weeks, but in the meantime this is our first time exposing the product to anyone who isn't a direct client of ours, so we're happy to take questions. And if it's a product you're interested in, we'd love it if you hopped over to https://static.tools/commerce and signed up for our launch announcements. Thanks! Site: https://static.tools Demo: https://demo.static.tools Docs: https://docs.static.tools

Share card

Actual performance

17points
8comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, new, email · Missing: mac, agents, macos
78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, interface · Missing: plus, intuitive, reviews
30%30% 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
22%22% 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
0%0% predicted probability of success on BetaList, 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
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
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
Liba Market
Liba Market50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

drop-shipping and e-commerce website

Indie Hackers
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
Webround
Webround66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An API-first e-commerce & website platform

Indie Hackers1$800/moanalytics
Re
Rentle – first circular commerce platform51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Rentle – first circular commerce platform

Hacker News1
Retrobie
Retrobie20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

E-commerce platform

Indie Hackerscommitment-side-project