Octogen: e-commerce capabilities for agents

Hacker News

Hi HN, We just released a public beta of e-commerce capabilities for AI agents — aimed at developers building shopping agents or personal assistants. It’s early and buggy, but we’d love your feedback. Try a live demo here: https://showcase.octogen.ai/stylist --- ## Why we built this We believe the biggest *technical* bottleneck in building consumer e-commerce agents is fragmented product data and inconsistent schemas across online stores. So we created a high-fidelity yet unified interface for *e-commerce catalog + checkout*, regardless of the underlying platform. --- ## What it does We currently offer two core capabilities: ### 1. Unified product catalog (for LLM-style search) - Octogen automatically wrangles any ecommerce site into a common schema — a superset of `schema.org/Product`. - It works across platforms and is available today for hundreds of sites. - You can request new stores — ~95% are processed fully autonomously. - Useful for agents doing RAG-based product search with rich attribute awareness. ### 2. Agentic checkout (closed beta) - Works on *any ecommerce site* using virtual cards (Visa only for now). - Enables agents to complete checkout flows much faster than browser-based "computer agents." - We're working on support for additional vaults/wallets/payment APIs. --- If you’re working on agentic commerce, autonomous checkout, or personal AI shoppers — we’d love your feedback and ideas. More at: https://octogen.ai

Visit product View on Hacker NewsMay 28, 2025

Share card

Actual performance

5points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, agentic · Missing: mac, macos, cursor

96%96% 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.

Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, interface · Missing: plus, intuitive, reviews

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: just released, ide, io · Missing: https docs, excited, exist

47%47% 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: personal · Missing: mobile apps, ios, entrepreneurs

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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.

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

My Capabilities69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Capabilities

Hacker News1

_done – Expanding AI Capabilities39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

_done – Expanding AI Capabilities

Hacker News2

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 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

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

Nousu45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Agents for E-commerce

Indie Hackerscommitment-side-project

VisionLaya: Jev with Vision capabilities60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

VisionLaya: Jev with Vision capabilities

Hacker News4

ACME Hugger – Make Nginx have native ACME capabilities70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ACME Hugger – Make Nginx have native ACME capabilities

Hacker News2

RediSQL a redis module with SQL capabilities62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RediSQL a redis module with SQL capabilities

Hacker News22

A just another Cron alternative but with much more capabilities72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A just another Cron alternative but with much more capabilities

Hacker News7

Browse all products Analyze your launch