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Archive through 2026-09-307155 cards in this category

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AI Table

New interfaces, agents, models, and experiments testing where applied artificial intelligence may fit.

Visual leads · 2026-09-30

Eight from today

Complete 20-card shelf
Landing-page snapshot of therevenuebench.com Observed 2026-09-30 RevenueBench puts AI models through revenue-team work therevenuebench.com

An open benchmark tests models on revenue-operations tasks such as forecasts, hygiene audits, renewals, and monthly close work.

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Landing-page snapshot of autodatabench.com Observed 2026-09-30 AutoDataBench tests whether agents can write training tasks autodatabench.com

A research benchmark evaluates agent-written executable tasks for validity, difficulty, and whether they elicit intended behavior.

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Landing-page snapshot of paper-session.com Observed 2026-09-30 Paper Session puts AI judgment on paper paper-session.com

A set of instructions for turning an AI chat task into a printed page you can fill in by hand and return to the same chat.

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Landing-page snapshot of route101.dev Observed 2026-09-30 Four AI models race through Pokémon Emerald route101.dev

Route 101 runs AI models through the same Pokémon Emerald route and publishes their progress, move counts, costs, and race logs.

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Landing-page snapshot of rsiarena.org Observed 2026-09-30 RSI Arena’s human-judged agent training contest rsiarena.org

Eight AI agents train from the same base model, then people are invited to try their checkpoints and predict which three will perform best.

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Landing-page snapshot of alacran.app Observed 2026-09-30 Alacrán: Company memory with approval gates alacran.app

Alacrán is a desktop app that gives Claude Code and Codex durable company context in files you own, while routing consequential changes through human approval.

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Landing-page snapshot of copythatlabs.com Observed 2026-09-30 Copy That Labs makes the case for robot-learning episodes copythatlabs.com

The site proposes recording complete human work episodes, with decisions and consequences linked, as training data for general-purpose robots.

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Landing-page snapshot of aux-scan.com Observed 2026-09-30 AUX Scan’s Drive-Through Vehicle Inspector aux-scan.com

A vehicle-inspection system for auction venues and vehicle depots that captures a car’s exterior and underbody, then prepares draft inspection materials.

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Complete daily shelf · AI Table

All 20 cards from 2026-09-30

The eight visual leads appear above; the remaining 12 continue here in their published shelf order.

Landing-page snapshot of fonino.app Fonino gives an AI assistant a physical iPhone fonino.app

Fonino connects an AI assistant to a physical iPhone so it can interact with native apps, browse on-device, and use Messages.

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Landing-page snapshot of swarmincidents.com OpenAI agent incidents, on a sourced timeline swarmincidents.com

An interactive timeline documenting reports of OpenAI agents reaching systems or public websites beyond their sandbox during training and evaluation.

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Landing-page snapshot of tightlipai.com Tightlip’s placeholder shield for AI prompts tightlipai.com

Tightlip describes a tool that replaces sensitive details with placeholders before a prompt reaches an AI, then restores them in the answer on the user’s device.

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Landing-page snapshot of postcutoff.com Post-Cutoff tracks what AI models missed postcutoff.com

A searchable timeline of AI developments, presented as a way to catch models up on news beyond their training cutoff.

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Landing-page snapshot of usethismodel.com UseThisModel keeps the provider route in view usethismodel.com

A searchable directory for comparing AI models by provider route, pricing, task, harness compatibility, and capabilities.

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Landing-page snapshot of dotbook.social Dotbook: a social feed for AI agents dotbook.social

Dotbook presents a shared network where agents post, reply, follow and tip, while people can claim an agent and set its spending budget.

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Landing-page snapshot of enkeon.com Enkeon: Context at the Cursor enkeon.com

Enkeon presents a shared memory layer that brings team context into AI tools and the browser where people are already working.

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Landing-page snapshot of claude-chess.com Claude Chess: different models, different chess games claude-chess.com

A playable collection of chess games whose boards, rules, and computer opponents were written by different Claude models.

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Landing-page snapshot of sentryops.dev Coatcheck: a checkpoint for AI production changes sentryops.dev

Coatcheck is a control layer in development that aims to intercept high-impact AI-agent actions, check them against policy, and route them for human approval before production systems change.

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Landing-page snapshot of smaralive.com Smara puts a talking avatar at the website’s door smaralive.com

Smara pitches a website avatar that greets visitors, answers questions, and handles tasks such as booking a consultation or adding an item to a cart.

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Landing-page snapshot of loaf.fyi Loaf puts AI-agent guardrails on the workbench loaf.fyi

Loaf presents a policy engine for setting per-task boundaries on AI agents, including network access, filesystem permissions, and sandbox constraints.

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Landing-page snapshot of jewel.monster JEWEL MONSTER’s AI-to-jewelry workshop jewel.monster

JEWEL MONSTER presents a tool for turning a written idea into a jewelry design, manufacturing specifications, and an itemized price estimate.

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Across the archive

AI Table, accumulating

7,155 cards provide an early longitudinal view—not a measure of the whole web.

Category pulse

score + signals · rolling 21 days
AI Table score and signal pulse Daily median editorial-interest threads for every category, the category average, and the daily prevalence of ten overlapping signals for AI Table over the latest 21 issues. Weird Finds daily median score Oddly Specific daily median score Useful Tools daily median score Developer Corner daily median score Civic & Public Life daily median score Learning & Exams daily median score Human Services daily median score Global Trade Desk daily median score Food, Events & Hospitality daily median score Commerce Shelf daily median score Content & Blogs daily median score Personal Pages daily median score Local Businesses daily median score Suspicious Gentlemen daily median score Daily average of category median scores AI Table daily median score 2026-09-10: AI Table median 82.02026-09-11: AI Table median 79.02026-09-12: AI Table median 81.02026-09-13: AI Table median 80.02026-09-14: AI Table median 82.02026-09-15: AI Table median 79.02026-09-16: AI Table median 79.02026-09-17: AI Table median 79.02026-09-18: AI Table median 79.52026-09-19: AI Table median 82.02026-09-20: AI Table median 79.02026-09-21: AI Table median 79.02026-09-22: AI Table median 79.02026-09-23: AI Table median 76.02026-09-24: AI Table median 78.02026-09-25: AI Table median 78.02026-09-26: AI Table median 77.02026-09-27: AI Table median 74.52026-09-28: AI Table median 78.02026-09-29: AI Table median 77.02026-09-30: AI Table median 78.0 ○ Open 2026-09-10: 100% open across 35 published cards 2026-09-11: 98% open across 43 published cards 2026-09-12: 100% open across 29 published cards 2026-09-13: 100% open across 25 published cards 2026-09-14: 100% open across 31 published cards 2026-09-15: 100% open across 38 published cards 2026-09-16: 100% open across 33 published cards 2026-09-17: 100% open across 37 published cards 2026-09-18: 96% open across 46 published cards 2026-09-19: 100% open across 43 published cards 2026-09-20: 100% open across 33 published cards 2026-09-21: 100% open across 35 published cards 2026-09-22: 100% open across 27 published cards 2026-09-23: 100% open across 23 published cards 2026-09-24: 100% open across 20 published cards 2026-09-25: 100% open across 22 published cards 2026-09-26: 100% open across 27 published cards 2026-09-27: 100% open across 20 published cards 2026-09-28: 100% open across 24 published cards 2026-09-29: 100% open across 17 published cards 2026-09-30: 100% open across 20 published cards ⊠ Login 2026-09-10: 11% login across 35 published cards 2026-09-11: 23% login across 43 published cards 2026-09-12: 17% login across 29 published cards 2026-09-13: 24% login across 25 published cards 2026-09-14: 29% login across 31 published cards 2026-09-15: 16% login across 38 published cards 2026-09-16: 30% login across 33 published cards 2026-09-17: 19% login across 37 published cards 2026-09-18: 20% login across 46 published cards 2026-09-19: 12% login across 43 published cards 2026-09-20: 15% login across 33 published cards 2026-09-21: 17% login across 35 published cards 2026-09-22: 26% login across 27 published cards 2026-09-23: 13% login across 23 published cards 2026-09-24: 5% login across 20 published cards 2026-09-25: 14% login across 22 published cards 2026-09-26: 19% login across 27 published cards 2026-09-27: 15% login across 20 published cards 2026-09-28: 25% login across 24 published cards 2026-09-29: 6% login across 17 published cards 2026-09-30: 20% login across 20 published cards $ Paid 2026-09-10: 46% paid across 35 published cards 2026-09-11: 56% paid across 43 published cards 2026-09-12: 38% paid across 29 published cards 2026-09-13: 48% paid across 25 published cards 2026-09-14: 55% paid across 31 published cards 2026-09-15: 50% paid across 38 published cards 2026-09-16: 42% paid across 33 published cards 2026-09-17: 38% paid across 37 published cards 2026-09-18: 24% paid across 46 published cards 2026-09-19: 28% paid across 43 published cards 2026-09-20: 33% paid across 33 published cards 2026-09-21: 43% paid across 35 published cards 2026-09-22: 48% paid across 27 published cards 2026-09-23: 30% paid across 23 published cards 2026-09-24: 20% paid across 20 published cards 2026-09-25: 23% paid across 22 published cards 2026-09-26: 30% paid across 27 published cards 2026-09-27: 30% paid across 20 published cards 2026-09-28: 17% paid across 24 published cards 2026-09-29: 35% paid across 17 published cards 2026-09-30: 30% paid across 20 published cards † Ads 2026-09-10: 0% ads across 35 published cards 2026-09-11: 0% ads across 43 published cards 2026-09-12: 0% ads across 29 published cards 2026-09-13: 0% ads across 25 published cards 2026-09-14: 0% ads across 31 published cards 2026-09-15: 0% ads across 38 published cards 2026-09-16: 0% ads across 33 published cards 2026-09-17: 0% ads across 37 published cards 2026-09-18: 0% ads across 46 published cards 2026-09-19: 0% ads across 43 published cards 2026-09-20: 0% ads across 33 published cards 2026-09-21: 0% ads across 35 published cards 2026-09-22: 0% ads across 27 published cards 2026-09-23: 0% ads across 23 published cards 2026-09-24: 0% ads across 20 published cards 2026-09-25: 0% ads across 22 published cards 2026-09-26: 0% ads across 27 published cards 2026-09-27: 0% ads across 20 published cards 2026-09-28: 0% ads across 24 published cards 2026-09-29: 0% ads across 17 published cards 2026-09-30: 0% ads across 20 published cards * Pretty 2026-09-10: 94% pretty across 35 published cards 2026-09-11: 95% pretty across 43 published cards 2026-09-12: 93% pretty across 29 published cards 2026-09-13: 100% pretty across 25 published cards 2026-09-14: 97% pretty across 31 published cards 2026-09-15: 100% pretty across 38 published cards 2026-09-16: 100% pretty across 33 published cards 2026-09-17: 97% pretty across 37 published cards 2026-09-18: 96% pretty across 46 published cards 2026-09-19: 93% pretty across 43 published cards 2026-09-20: 94% pretty across 33 published cards 2026-09-21: 97% pretty across 35 published cards 2026-09-22: 100% pretty across 27 published cards 2026-09-23: 78% pretty across 23 published cards 2026-09-24: 100% pretty across 20 published cards 2026-09-25: 95% pretty across 22 published cards 2026-09-26: 89% pretty across 27 published cards 2026-09-27: 75% pretty across 20 published cards 2026-09-28: 92% pretty across 24 published cards 2026-09-29: 82% pretty across 17 published cards 2026-09-30: 85% pretty across 20 published cards ● Pro 2026-09-10: 97% pro across 35 published cards 2026-09-11: 84% pro across 43 published cards 2026-09-12: 97% pro across 29 published cards 2026-09-13: 92% pro across 25 published cards 2026-09-14: 90% pro across 31 published cards 2026-09-15: 92% pro across 38 published cards 2026-09-16: 88% pro across 33 published cards 2026-09-17: 84% pro across 37 published cards 2026-09-18: 87% pro across 46 published cards 2026-09-19: 95% pro across 43 published cards 2026-09-20: 82% pro across 33 published cards 2026-09-21: 91% pro across 35 published cards 2026-09-22: 93% pro across 27 published cards 2026-09-23: 43% pro across 23 published cards 2026-09-24: 55% pro across 20 published cards 2026-09-25: 55% pro across 22 published cards 2026-09-26: 48% pro across 27 published cards 2026-09-27: 35% pro across 20 published cards 2026-09-28: 67% pro across 24 published cards 2026-09-29: 41% pro across 17 published cards 2026-09-30: 55% pro across 20 published cards ◎ Niche 2026-09-10: 100% niche across 35 published cards 2026-09-11: 95% niche across 43 published cards 2026-09-12: 100% niche across 29 published cards 2026-09-13: 100% niche across 25 published cards 2026-09-14: 100% niche across 31 published cards 2026-09-15: 97% niche across 38 published cards 2026-09-16: 100% niche across 33 published cards 2026-09-17: 97% niche across 37 published cards 2026-09-18: 98% niche across 46 published cards 2026-09-19: 91% niche across 43 published cards 2026-09-20: 97% niche across 33 published cards 2026-09-21: 94% niche across 35 published cards 2026-09-22: 100% niche across 27 published cards 2026-09-23: 96% niche across 23 published cards 2026-09-24: 90% niche across 20 published cards 2026-09-25: 100% niche across 22 published cards 2026-09-26: 96% niche across 27 published cards 2026-09-27: 100% niche across 20 published cards 2026-09-28: 100% niche across 24 published cards 2026-09-29: 88% niche across 17 published cards 2026-09-30: 100% niche across 20 published cards ◉ Human 2026-09-10: 6% human across 35 published cards 2026-09-11: 7% human across 43 published cards 2026-09-12: 0% human across 29 published cards 2026-09-13: 8% human across 25 published cards 2026-09-14: 10% human across 31 published cards 2026-09-15: 5% human across 38 published cards 2026-09-16: 3% human across 33 published cards 2026-09-17: 14% human across 37 published cards 2026-09-18: 9% human across 46 published cards 2026-09-19: 9% human across 43 published cards 2026-09-20: 6% human across 33 published cards 2026-09-21: 6% human across 35 published cards 2026-09-22: 4% human across 27 published cards 2026-09-23: 17% human across 23 published cards 2026-09-24: 0% human across 20 published cards 2026-09-25: 9% human across 22 published cards 2026-09-26: 11% human across 27 published cards 2026-09-27: 5% human across 20 published cards 2026-09-28: 8% human across 24 published cards 2026-09-29: 6% human across 17 published cards 2026-09-30: 0% human across 20 published cards ! Risk 2026-09-10: 11% risk across 35 published cards 2026-09-11: 2% risk across 43 published cards 2026-09-12: 0% risk across 29 published cards 2026-09-13: 4% risk across 25 published cards 2026-09-14: 0% risk across 31 published cards 2026-09-15: 3% risk across 38 published cards 2026-09-16: 0% risk across 33 published cards 2026-09-17: 0% risk across 37 published cards 2026-09-18: 9% risk across 46 published cards 2026-09-19: 5% risk across 43 published cards 2026-09-20: 0% risk across 33 published cards 2026-09-21: 3% risk across 35 published cards 2026-09-22: 0% risk across 27 published cards 2026-09-23: 0% risk across 23 published cards 2026-09-24: 5% risk across 20 published cards 2026-09-25: 5% risk across 22 published cards 2026-09-26: 0% risk across 27 published cards 2026-09-27: 5% risk across 20 published cards 2026-09-28: 4% risk across 24 published cards 2026-09-29: 6% risk across 17 published cards 2026-09-30: 5% risk across 20 published cards ƒ JavaScript 2026-09-10: 26% javascript across 35 published cards 2026-09-11: 44% javascript across 43 published cards 2026-09-12: 24% javascript across 29 published cards 2026-09-13: 44% javascript across 25 published cards 2026-09-14: 32% javascript across 31 published cards 2026-09-15: 29% javascript across 38 published cards 2026-09-16: 21% javascript across 33 published cards 2026-09-17: 46% javascript across 37 published cards 2026-09-18: 28% javascript across 46 published cards 2026-09-19: 21% javascript across 43 published cards 2026-09-20: 39% javascript across 33 published cards 2026-09-21: 37% javascript across 35 published cards 2026-09-22: 26% javascript across 27 published cards 2026-09-23: 30% javascript across 23 published cards 2026-09-24: 25% javascript across 20 published cards 2026-09-25: 50% javascript across 22 published cards 2026-09-26: 22% javascript across 27 published cards 2026-09-27: 25% javascript across 20 published cards 2026-09-28: 21% javascript across 24 published cards 2026-09-29: 24% javascript across 17 published cards 2026-09-30: 25% javascript across 20 published cards
AI Table14 other categoriesDaily category averageScore axis 65–85Signal share0–100%

The rolling 21-day upper threads compare daily category medians; the bold thread is AI Table. Below, signal colour shows the share of that day’s published AI Table cards carrying each mark.

What moves with an 80+ score

1,083 high-interest cards
Signal prevalence among AI Table cards scoring 80 or higher Percentage-point difference between each signal’s prevalence across this category and among the category’s cards with an editorial-interest score of 80 or higher. Open: 50% across all AI Table cards and 82% among cards scoring 80+, a +32 pp difference. ○ Open 50% → 82% +32 pp +32 pp Login: 46% across all AI Table cards and 21% among cards scoring 80+, a -25 pp difference. ⊠ Login 46% → 21% -25 pp -25 pp Paid: 43% across all AI Table cards and 40% among cards scoring 80+, a -3 pp difference. $ Paid 43% → 40% -3 pp -3 pp Ads: 0% across all AI Table cards and 0% among cards scoring 80+, a 0 pp difference. † Ads 0% → 0% 0 pp 0 pp Pretty: 83% across all AI Table cards and 95% among cards scoring 80+, a +12 pp difference. * Pretty 83% → 95% +12 pp +12 pp Pro: 34% across all AI Table cards and 96% among cards scoring 80+, a +63 pp difference. ● Pro 34% → 96% +63 pp +63 pp Niche: 88% across all AI Table cards and 94% among cards scoring 80+, a +6 pp difference. ◎ Niche 88% → 94% +6 pp +6 pp Human: 2% across all AI Table cards and 8% among cards scoring 80+, a +5 pp difference. ◉ Human 2% → 8% +5 pp +5 pp Risk: 3% across all AI Table cards and 3% among cards scoring 80+, a 0 pp difference. ! Risk 3% → 3% 0 pp 0 pp JavaScript: 32% across all AI Table cards and 31% among cards scoring 80+, a -1 pp difference. ƒ JavaScript 32% → 31% -1 pp -1 pp

This exposes association inside the published catalogue, not causation or site quality. The 80+ threshold is the pipeline’s editorial-interest score.