
Truthlocks
Signed records, shareable proofs and accountable AI actions
What is Truthlocks?
Truthlocks provides cryptographic trust infrastructure for digital records, signed statements and AI agent actions. Individuals and organizations can publish signed text with explicit disclosure controls, share public proof links and check whether presented content matches the signed evidence. Proof Frame supports an editable demonstration copy without changing the original signed record, and linked revisions retain the relationship between statement versions. Businesses use a workspace console; developers integrate supported APIs, SDKs and MAIP integrations for machine identity and signed action receipts. Public proof pages distinguish content integrity, digital signatures, issuer assurance and available status and transparency evidence. A self-registered issuer is not independently accredited, and a valid signature is not proof that the underlying statement is true. The hosted platform is proprietary. Public SDKs and integrations have their own repository licenses. A recipient can open an intentionally public proof without creating an account. Eligible public text records include a separate editable demonstration copy: changing a character tests the content fingerprint while leaving the original signed statement intact. The interface explains what was signed, which checks completed and what evidence remains unavailable. This makes the workflow useful for public announcements, professional declarations and technical records. Signing a revised statement creates a linked version instead of silently overwriting the original. For teams integrating the product, documentation and public examples provide a starting point for evaluating the supported record and receipt workflows. Issuance follows account permissions, onboarding requirements and applicable usage allowances. Organizational operations are metered; personal plans and allowances are separate. The public website links to current pricing and a reproducible technical evidence page.
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Launch NowFounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
Hours 5 to 12 I started using Cursor to build out the core features. From there I spent hours 13 to 20 testing bugs and iterating. At hours 21 to 30 I thought I would spend a lot of time polishing the UI. Hours 31 to 40 edge cases. Hours 41 to 48 demo prep.
Plan the 48-hour MVP hour-by-hour, not as a vague "I will build this weekend"
Rather than a vague 48-hour ship goal, Hassam allocated specific hour blocks: 0-4 mapping the partner's SOPs, 5-12 core features in Cursor, 13-20 bug testing, 21-30 branded UI polish, 31-40 edge cases, 41-48 demo recording. The schedule forced shipping over polishing and made the demo deadline binding.
I had a certain level of credibility on Twitter because I had been out there building in public for a few months or maybe a few years at that point. I also think I managed to build enough hype prior to this product before I even built the product.
Stack Years Of Build-In-Public Credibility So Launch Day Converts Without Pitching
Lewis credits sustained months and years of Twitter build-in-public as the reason his 12-hour MVP got paying customers immediately. The audience was already conditioned to trust him, so launch day was a conversion event, not a cold pitch. Audience capital compounds even when no specific product exists yet.
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