DemoVexa
Turn your code into finished product demo videos
Developer Tools·AI & Machine Learning·Marketing
What is DemoVexa?
DemoVexa is an AI desktop app that reads your software's code and turns it into finished product demo videos, with a script, voiceover in 85 languages and your real UI animated. No screen recording.
Developers build the software, but showing what it does still takes weeks of scripting, recording, voice work and editing. DemoVexa reads your code, docs and navigation like a new engineer would, then makes a narrated demo video with clean sample data instead of real customer data. When your product changes, it rebuilds the video from the latest code. Runs on macOS, Windows and Linux, or from the CLI.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
Revisit your assumption every now and then — every 6 months or whatever — or at least control that gap between what we're sending and what is actually happening is not too big.
Revisit signal engineering assumptions every 6 months — they drift as your business changes
Signal engineering is not a set-and-forget system. Pricing changes, monetisation experiments, new channels, and macroeconomic shifts all alter which users are actually valuable — meaning the engineered values sent to ad platforms gradually diverge from reality. Thomas Petit monitors the gap between predicted and actual value; when it widens beyond acceptable tolerances (especially at the country level), he updates the model rather than letting the platform optimise against stale assumptions.
a lot of people want to launch a premium product and I'm like no... prove to me there's going to be enough value and like there is another cohort here that isn't just like 1 or 2% that we're going to do a lot of work for maybe not a lot of return
Prove the premium cohort exists before building a premium tier
Adoption rates for premium tiers run in the low single digits unless the product already has a clear superfan segment. Michael's test: before building a high-touch tier, identify whether the cohort is large enough to justify the operational lift, or whether the same LTV can be captured more cheaply through IRL events, merch, or post-purchase upsells. Most teams launch premium tiers too early and should optimize the base product first.
There's a play for whatever you're stuck on.
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