Find your next useful bot.

A morning briefing on frontier AI releases from official sources only: xAI, Anthropic, Google, OpenAI, Moonshot, Alibaba, Zhipu, DeepSeek, MiniMax and Tencent. It runs early each morning (07:30 East Africa Time by default) and reports verifiable changes, so you get the actual model news without the rumor cycle.

A house and rental hunter that checks listings every 12 hours across Redfin, Zillow, Craigslist, Facebook Marketplace, MLS, ApartmentList and other sites. On first run it asks what you're looking for, then surfaces new matches and opportunities to save money, instead of you refreshing a dozen tabs.

Morpheus is a public decision-support Bot that reduces a choice to its strongest alternatives, researches facts that could change the answer, and commits to one recommendation. It remains advisory: the configuration forbids external execution and identifies what evidence would reverse the call.

X Brief is a public monitoring Bot that studies the topics a user genuinely follows, confirms that editorial beat, and reports meaningful changes without automatically turning every item into content. Its source configuration supports an end-of-day weekday cadence.

A paper-trading research Bot that hunts for opportunities in a live market without risking real money. Setup asks whether to work the Indian NSE (the default) or NASDAQ and adjusts the clock, currency, order book and stock universe to match. It comes with a playful persona, but the output is a monitored, simulated trading workflow, not financial advice.

A full-stack product engineer Bot built by Tom Zarebczan for shipping web apps that work on both mobile and desktop. Its stack is opinionated: Convex for the backend, TanStack and React on the front end, carried end to end rather than handed off in pieces. What sets it apart is the emphasis on interface quality: it aims for simple, intuitive UI instead of scaffolding that merely runs.

Examiner is a public monitoring Bot configured as a read-only organizational flight recorder. It separates observed facts from inference, records only meaningful changes, and avoids contacting people or altering systems while building a reconstructable timeline.

Bounty Hunter is a public read-only finance-operations Bot for investigating refunds, duplicate charges, unused credits, reimbursement gaps, and similar recoverable value. It separates potential findings from money actually recovered and requires approval before any external or financial action.

A local-only coding Bot that runs the cursor-agent CLI on your own laptop for experiments and day-to-day shop-floor work, while cloud agents remain the default for GitHub pull requests. Its creator describes it as 'local hands, cloud for the repo': it does not deploy, submit or send anything unless you explicitly approve.

Eric Zakariasson's manager for a team of Grok Bots. Notion is the source of truth: each project gets a row and its own Grok Bot channel, tasks go on a Tasks board and specialist Bots claim them. Setup is install, ask it to create specialists such as a coder, designer, researcher and writer, then start your first project.

Maps the people who currently work at any company you name, sorted by function, seniority, tenure and location. It delivers a CSV plus a one-page HTML org view, which its creator pitches at hiring managers who want to understand the talent at a competitor.

A weekday executive assistant that recaps email, calendar, Notion and Slack each day, answers staff questions from a written playbook and posts client-call follow-ups. Because answers come from the playbook you write, the team gets consistent responses without pulling you into every routine question.

Makes sure no follow-up slips after a meeting. When a call ends it drops your to-dos and a draft follow-up message, but it never sends anything itself. On first run it asks which notes app, email, calendar and links it should use.

Keeps the shared Grok Bot computer organized and safe when several Bots work on it: a workspace folder per Bot, git backups, cleanup and archiving, curated identity snapshots and short organization reports. Its creator calls it a must-have once you run more than a couple of Bots.

Tracks who replies to an X account: groups commenters by attitude, flags hostile accounts with real reach, lists posts that may break X's rules, and...

Alfred is a public advisory Bot for evaluating an organization’s AI-worker structure. Its configuration starts from company outcomes and human ownership, challenges unnecessary automation, and places explicit approval gates between discovery, system design, activation, and public sharing.

Designs, reviews and grades MCP servers against the current MCP spec, and plans polite, budgeted live tests that respect bot-protected sites. For teams...

An inbox-zero Bot for everything that lands on you, not just email. On setup it asks you to connect every inbox you actually use — email, Slack or Teams, calendars, Notion and messengers — and then processes them on a repeatable routine, so incoming work gets sorted the same way every time.

Harvey Specter is a public negotiation Bot for active quotes, renewals, and commercial deals. It researches leverage, negotiates more than price, keeps communications concise, and brings the owner back in for binding terms, payment, legal review, or final acceptance.

PG is a public prospecting Bot for building account context before outreach. It looks for useful signals in public appearances and social posts, organizes contacts in a spreadsheet, and drafts messages using available CRM and meeting context.

Does deep research and returns answers you can verify. Every claim comes with a source, and it won't present an unverified source without flagging it. Its creator uses it for clear, concise answers built on cited sources and first-principles reasoning.

Point it at a pull request and it starts the review with the scary part: what could break, what isn't tested and where the context is too thin to judge. Leading with risk means a human reviewer spends their time on the diff that matters instead of skimming everything evenly.

Finds invoice PDFs in Gmail, pulls out the vendor, date, amount and invoice number, and packs each month into a folder with a CSV and an index. You approve the package before anything goes to your accountant. Its creator says his accountant loves him for it.

A Reddit researcher that turns seed keywords into evidence. It runs a gated three-step pipeline: first it extracts exact quotes describing pain points, then it builds an ideas pack from them, and optionally it drafts a landing-page prompt. It reads only — it never posts or comments.

Adam Tanguay's SEO and answer-engine optimization teammate. On first run it reads the tools you've already connected — keyword research, prompt tracking, rank tracking and Google Search Console — recommends a stack and asks only about gaps. It's tuned to produce content briefs a writing team can act on, alongside technical checks from Search Console.

Plans trips and events against a practical brief: it finds live flights, hotels, ground transport and official event tickets, compares real prices, checks the official local sites for where you live and fills in the details, so you choose from verified options instead of a pile of tabs.

Spark is a public onboarding Bot designed to reduce blank-page setup. It asks a compact set of questions, recommends or creates the Bots that fit the answers, and points the user toward connectors that make those roles useful.

Chieeeeefy is a public chief-of-staff Bot configured for field engineering work. It prioritizes calendar and work email context, normalizes event times to the user’s location, keeps decision requests terse, and treats Notion as the operating record.

John Wick is a public account-navigation Bot focused on finding a credible route to the person who can move a buying decision. Its configuration favors a few researched moves over bulk outreach, limits follow-ups, respects opt-outs, and reserves commitments for the owner.

Audits a website across SEO, content, speed, accessibility, conversion and structured data, scoring every issue and grouping it as P0, P1 or P2 with evidence URLs. It reruns monthly and shows what changed since last time, and it refuses to invent metrics it can't measure.