Show HN: Moots AI (YC W22) helps you turn meetup contacts into deals

Show HN: Moots AI (YC W22) helps you turn meetup contacts into deals

Hi HN! Going to meetups or conferences?

TL;DR: We’re building an AI tool that helps you capture leads, keep track of key details, and follow up fast starting with in-person events.

We’re Tonje and German, and we’re building Moots AI, a smart contact system for sales teams, founders, investors, recruiters, and partnership managers who rely on real-world events to meet leads, close deals, and build relationships.

Our first focus: make sure no contact or lead from a conference, summit, or meetup slips through the cracks.

The Problem: Most networking events are a waste.

You meet dozens of valuable people but the context fades fast, and follow-ups are often delayed or forgotten. If you’re in sales, fundraising, or biz dev, missed follow-ups = lost pipeline.

- 80% of leads generated at trade shows are never followed up. - 35-50% of sales go to the vendor that responds first after an event. - Companies that follow up within 48 hours see a 25–50% higher conversion rate. - After 2–3 days, interest drops sharply especially for leads from in-person events.

You’ve probably lived this:

You show up early, set up your booth, and wait while everyone’s in talks. Then suddenly, right after a session ends, the crowd rushes in. You're juggling five conversations at once. No time to scan badges. No time to take notes. After the event, it's a blur.

You vaguely remember someone from Minneapolis who mentioned tennis and his kid… but who was it? Your lead capture tool didn’t save their name, photo, or context. That opportunity? Gone. Customer? Partner? Hire? You don’t remember and you can’t follow up on what you’ve forgotten.

Ever bump iPhones with someone at an event then forget who they were the next day?

When someone shares their number by bumping iPhones, you’re left with a contact buried in your phonebook—no notes, no context, just a name and a number.

Our Solution: AI that captures and activates your relationships

Moots turns live conversations into rich, actionable contact profiles. Scan a badge or card → Moots instantly builds a profile with job title, company, LinkedIn, education

It transcribes the conversation, tags key details, and qualifies the lead It helps you prioritize follow-ups, suggests next steps, and can draft outreach for you It even surfaces on the fly, contacts in common, shared interests, or past locations to help you connect with context

Every person you meet becomes part of a searchable, AI-powered personal network. Your AI agent remembers everything so you can focus on building relationships and closing deals.

Demo: https://youtu.be/tkC1DCQzHcY?si=Vlu-5TEUNXWyE09K

What Moots does today

- Scan lead badges or business cards at events - Auto-enrich contacts with public info (title, LinkedIn, company, education) - Dictate and attach notes to the right contact - Qualify and categorize leads - Search your network by event, tag, or date - Draft follow-ups - Build a private, living knowledge base for each contact

Our Team

Tonjé Bakang Tonje (CEO) – Previously founded Afrostream (YC W15), a media platform that reached millions. Former VC and dealmaker in Europe.

German Saprykin (CTO) – Engineering leader with deep experience in AI infrastructure and consumer-scale systems. Previously at Grab.

We just launched, download Moots AI on the App Store:

https://apps.apple.com/us/app/moots-ai/id6717572977

We’re always learning. Feedback is gold. Tell us how we can better support your business and your relationships.

Tonje & German

Discussion 0 comments · 1 points · Tonje · 2025-07-31
Open on HN
Loading the discussion…

Domain filters

Stories from these domains are hidden from every list. Subdomains match too: blocking substack.com also hides danluu.substack.com.

    New collection

    Delete this collection?

    About YAVCHN

    YAVCHN is a reader for Hacker News and Lobsters, with articles and discussions in separate windows or Classic pages.

    Created by Paul Parks and built with PUDL.

    YAVCHN source code on GitHub

    Privacy policy · Terms of use

    Help

    Keyboard

    j / k
    Move down and up the story list. The arrow keys scroll whatever has focus.
    Enter
    Read the marked story in the article reader.
    ]
    Read the next story in the same article-reader applet. Back returns to the previous story.
    p
    Pin or unpin the marked story, which keeps it in Pinned.
    n / N
    Move to the next or previous top-level comment in the window in front.
    c
    Collapse or expand that comment.
    f
    Hide or show the story list.
    Esc
    Close a menu or this help.
    Access key m
    Go to the menu bar. Most browsers take it with Alt on Windows and Linux, and Safari with Control and Option.
    ?
    Show this help.

    Windows

    Each story opens in a window holding its article above its discussion; drag the bar between them to share the room differently. A window can be moved by its title bar, resized from any edge, snapped to a half or a corner by dragging it there, maximised, or minimised to the bar at the foot of the page. Use Window > New reader window to open an empty reader, or Story > Open in new reader window to open another reader for the current article. Docked readers keep their articles when you select another story from the sidebar. Minimized readers can be restored and reused for their site. A window's Next story link reads on down the list in the same window.

    A link in a comment or an article to another Hacker News or Lobsters thread opens that thread in a window too. A link to a single HN comment opens the comment above its replies.

    While a story's window is in front, the Story and Discussion menus in the menu bar hold its commands: pinning, Next story, sorting, collapsing every thread, jumping to the first new comment. Each window also remembers where you were in its article and discussion, so a reload, or Back to a story that Next took you past, finds your place again. Closing a window forgets it.

    The whole arrangement lives in the address, so a bookmark or a shared link brings it back, and Back undoes the last change. Moving between Hacker News, Lobsters, their lists, Pinned and Find changes only the list, and leaves the windows open.

    The list

    The pin at the start of a row keeps the story in Pinned, and the cross at its end hides it. Pinned can be narrowed by words in the title, site or author, by source, and to the stories you haven't opened yet, and ordered by when you pinned them, by points or by comments; the filters are part of the address, so a filtered view can be bookmarked. Scroll past the end of the list to load more. Domain filters, in the View menu, hide every story from a site.

    Collections are named lists of stories. Story > Add to collection files the story in front into one or more of them, and the Collections feed shows them all or one at a time; the menu that chooses collections also creates, renames, and deletes them. A note is your own text on a story. Choose Add note in a story's toolbar to write one; it saves as you type. Rows with a note carry the note mark, and the Notes feed lists every noted story and searches the text of your notes.

    Browsing view

    View > Windowed and View > Classic select the browsing view and save your default in this browser. Window view reuses a reader for each feed. Classic view opens stories and applets as pages. Open as a page is a one-off action that does not change your saved default. Use the Windowed selector to return an article to a window. Direct page links always open as pages.

    Applets

    The Applets menu in the menu bar holds three tools, each a window of its own. Replies to me takes your Hacker News user name and lists the replies to your last thirty comments and stories, checking again every three minutes while it is open, and marking what is new since you last marked them read. Look up a user opens a profile on Hacker News or Lobsters, with their submissions and recent comments, as a commenter's name in any discussion does; the bar at the top of a profile looks up someone else in the same window, and Back returns to the one before. Who is hiring? filters the posts of HN's monthly hiring threads by the words you type.

    They read only what the sites publish to everyone, so none of them asks for a login, and your user name stays in this browser anonymously and is included in retained applet state when signed in.

    Find

    Find takes any link and lists every time it was submitted to Hacker News and Lobsters, so you can read each discussion of it.

    About

    YAVCHN never sees your Hacker News or Lobsters login. The discussion is fetched from each site's public API; to vote or reply, follow the link above the discussion, or the arrow beside a comment, to the source's own site. Without a YAVCHN account, your data stays in this browser. When signed in, pins, collections, notes, blocked domains, and retained reading state are stored with your account and synchronized across devices. Hidden stories and layout stay in this browser. The privacy policy has the details.

    Open source: github.com/paulmooreparks/yavchn. Built with PUDL.