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Replying to @holman
I've invested in 233 companies and Signed tracks 'em, ingests investor updates, triages leads, diligences new startups, and all this other stuff I couldn't do before; makes me giddy to use it, lol. Dogfooding rules. Beta's now; waitlist is now open: signed.com
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If you like this AI stuff and think it's pretty cool and you want to just *build* these days... you should just go get an LLC: zachholman.com/posts/you-sho…
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An oldie post from 2024, but I've been curious about the data side. I had @Muse pull in my whole angel portfolio via MCP from @signedco of ~150 startups; the interesting bit: - Startups who sent investor regular updates: 8% died - Startups who didn't send updates: 28% died
hey founders: send more investor updates zachholman.com/posts/send-mo…
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this has some wild correlation/causation to it, of course, and it's a sample of companies just in my portfolio, but thought it was interesting nonetheless.
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Zach Holman retweeted
I love Signed.com and their MCP. tracking my angel investments has never been easier / prettier. this is not a paid endorsement. (not yet, but I’m open to it @holman) this endorsement been earned through pmf. they made something i love.
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don’t talk to me unless you have sound effects enabled on linkedin i only talk to winners
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if you're telling someone about their own job from 15 years ago, TURING TEST DENIED zachholman.com/posts/llm-wri…
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Added a new runway feature to @signedco to sort which of my portfolio companies are facing cash crunches. (As a side note, always fascinated by startups who run out of cash and haven't talked to their investors about it. That's what they're there for, to help!)
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Still really enjoying @muse. I use Things.app for all of my todos, and though it has cloud sync they (still) haven’t added an official API. I told muse to build it and a minute or two later I have ongoing todo sync from my LLM across all my Apple devices. Wild.
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as you get older you realize that the hardest problem we all face in life is what to eat for dinner this time. like we just had dinner last night why do we have to make this decision again
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i just had @Muse set up my @vestaboard to display messages in my zoom background about whichever meeting i'm in next. worked great. then i told it to do a fun one for me in the meantime. this is the message it chose and then this is what it told me in chat after lol send help
friends, i’m sadly here to say that meta has cooked with @Muse and it’s everything every personal ai assistant has tried to be. it just like… works. i remain skeptical and continue to be really impressed
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friends, i’m sadly here to say that meta has cooked with @Muse and it’s everything every personal ai assistant has tried to be. it just like… works. i remain skeptical and continue to be really impressed
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Apologies if you’ve sent in a pitch deck for your startup this week; I’ve gotten 150+ pitches the last few days and that’ll take me a bit to dig through. Angel investing is a real trip.
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best we can tell, an onlyfans or similar model has been using our address for her simps and we keep getting bouquets of flowers this week for her apparent birthday (or for one guy, their two week anniversary together). the house is now mostly flowers.
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hell yeah even more flowers today, this woman must be incredible
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Been digging into my own angel investor metrics lately; I currently invest in about 2% of the companies I see. If you're raising, just know that a lot of this is a numbers game. Even the hot startups I talk to get a lot of `no` before hearing `yes`.
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Opening day is incredible. It’s basically like back-to-school days, where you get to see all the familiar faces and see what everyone was up to over the summer. Granted, we’re doing it at 9:30am at the pub, but it’s basically the same thing. ⚽️
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Had a lovely time talking with Marcia Dawood about angel investing, building @signedco, investing in sports, and how AI can help unlock all three of those. Yes, I used `unlock`. That's how you know it's business-oriented™. Full episode is on YouTube: piped.video/watch?v=DtcaBlog…
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imagine: running an agent which was solely trained on the hardest problem remaining in computer science: staying signed in to any anthropic service for longer than a few days
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i really can’t fathom what github would have looked like had we had LLMs in 2010. the amount of automation built into hubot was staggering anyway. the company was already being run fly-by-wire.
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Startup employees and investors don't nearly pay enough attention to QSBS. Would have saved me millions of dollars at GitHub (ugh). QSBS got much more complicated, too, so I just shipped the most comprehensive QSBS calculator out there. Give it a shot: signed.com/tools/qsbs-calcul…
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