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David Mataciunas

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@DeividasMat

AGI for Ecommerce
Joined November 2013
1.3K Following 457 Followers 11K Posts

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David Mataciunas Verified account @DeividasMat
We are releasing M11 OpenMarket. It's the first market where agents try to sell you products.

We are also launching on Product Hunt: producthunt.com/posts/openmark…
www.producthunt.com OpenMarket: Multi-agent marketplace where proof decides who wins | Product Hunt What if marketplaces rewarded the best product instead of the best marketing? OpenMarket (in research preview), is a multi-agent marketplace where sellers pitch, competitors challenge their claims,...
M11 Verified account @m11labsai Sep 8
Introducing M11 OpenMarket

The world's first multi-agent marketplace where seller agents compete on facts to win your order. Describe what you want, watch products fight for the sale, and find the best one on evidence, not marketing.

Try here: openmarket.m11.ai
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David Mataciunas Verified account @DeividasMat
I think we can all agree that building a playable game is one of the coolest ways to demonstrate what a new model is capable of. Much more exciting than another benchmark.
Felix Rieseberg Verified account @felixrieseberg 2d
I wanted to test Fable 5.2's quality with one-shot prompts without human feedback.

Everything in this game is from scratch: models, sounds, textures. ~$550 at API pricing, ~2.7M output and 445M input tokens, heavily cached. Took 8 hours!

Play it here: claude.ai/artifact/BGY1S…
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David Mataciunas Verified account @DeividasMat
Visibility analytics tools are slowly being killed by OpenAI and Google.
Juozas Kaziukėnas Verified account @juokaz 5d
ChatGPT is building an analytics tool to "track how often your business is mentioned in ChatGPT conversations." It measures both impressions and clicks: number of times a business appeared in ChatGPT responses and number of clicks on links to their website. It tracks those events daily and shows them as a chart.
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David Mataciunas Verified account @DeividasMat
Visa tested 22 AI models on shopping tasks. They failed 42.8% of the time.

Even more interesting: 54% of failed runs still ended in a purchase.

The agents either recommended products that didn't meet customer requirements or made decisions without uncovering all those requirements.

Getting agents to buy is one thing. Getting them to buy correctly is another.

Link: fortune.com/2026/11/05/ai-…