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Most e-signature platforms charge: per seat, per envelope, API access fees, enterprise contracts

We built VisiSign with a different pricing model: $0.10 per envelope via API, no monthly minimum, no contracts, no seat pricing

Or $49/month for the hosted team platform: unlimited users, unlimited sends, API included

The reason this pricing works is simple:

E-signatures are infrastructure now.

Twilio doesn’t charge per employee. Stripe doesn’t charge per seat. Cloudflare doesn’t charge by company size.

But most e-signature platforms are still priced like 2000s enterprise SaaS.

It should work more like payments or email infrastructure: API-first, automation-friendly, embedded into workflows, usage-based when appropriate

Real signature infrastructure is more than rendering a PDF: audit trails, timestamps, signer event history, tamper evidence, completion certificates, webhook workflows

So we built VisiSign around that assumption.

https://visisign.app

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Article URL: https://lailluminator.com/2025/11/22/meta-data-center-crashes/

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Article URL: https://n8z.dev/posts/keys-and-values-are-all-you-need/

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Article URL: https://nvd.nist.gov/vuln/detail/CVE-2026-46333

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Article URL: https://blockchaincapital.com/blog/after-the-feed

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Article URL: https://www.404media.co/tech-companies-to-discuss-irans-future-during-private-conference-at-uber-hq/

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Article URL: https://www.nature.com/articles/s44458-026-00056-4

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My team and I have been building a VR headset + MR glasses platform for the past few years, and one of the biggest challenges has been tracking.

A few months ago we started developing a modular tracking stack called Shinra Meisin, focused on:

- Low-latency edge processing - Privacy-first architecture - Modularity and hardware flexibility - XR-focused tracking pipelines

The system currently includes:

- Eye tracking - Mouth tracking - SLAM - Inside-out full body tracking - Experimental BCI integration

Today we’re showing our current eye tracking progress and plan on showing off SLAM within the next two(ish) days.

Real time landmark accuracy is 80-85% and gaze is 1.0-2.0° (Which will increase exponentially once I get John (My dev) a better GPU and help train a dataset off of 40ish people

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Article URL: https://aicc.rayonnant.ai/challenges/palin-prime-bits/

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Article URL: https://www.vldb.org/pvldb/vol19/p1441-rajan.pdf

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Article URL: https://www.reuters.com/world/spacex-accelerates-ipo-timeline-targets-june-11-pricing-nasdaq-2026-05-15/

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Article URL: https://operativereview.com/subjects/

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Article URL: https://crawshaw.io/blog/agent-principal-agent

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Article URL: https://myaitoken.io

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Article URL: https://frontier-cs.org/blog/frontiersmith/

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Article URL: https://www.economist.com/leaders/2026/05/14/prepare-for-an-ai-jobs-apocalypse

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Article URL: https://www.winehq.org/announce/11.9

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Article URL: https://hollisrobbinsanecdotal.substack.com/p/college-credit-for-this

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