Sensay ⛩️✨

Streamline offboarding, capture knowledge, and preserve expertise.

[Sensay ⛩️✨ @asksensay]

Important update for $SNSY holders. The hosted vesting and staking portal retires on 1 August 2026, but your tokens are completely safe and stay on-chain.

You can claim, stake, and withdraw directly via Etherscan. Full step-by-step guide here, and a new interface is on the way.

→ https://t.co/1Nh2LWAPhR

[NOWPayments @NOWPayments_io]

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See how it works 👇

[Sensay ⛩️✨ @asksensay]

🚨 SENSAY COMMUNITY CALL 🚨

We’re going LIVE with Sensay CEO Dan Thomson Wednesday, 9 September at 3PM UTC 🔥

Expect big Sensay updates, what’s coming next, community Q&A with REWARDS 👀🎁

💬 Ask questions
🎤 Get answers live
🏆 Earn rewards for participating

Set your reminders. Bring your best questions. See you there! 🚀

[Sensay ⛩️✨ @asksensay]

Every company is planning to replace departing expertise with AI. Few have noticed the timing problem. The knowledge you would need to train that AI is leaving in the same wave you are trying to automate around.

[Sensay ⛩️✨ @asksensay]

Learn how to send Sensay (SNSY) payouts by email using NOWPayments and ChangeNOW PRO. Eliminate wallet collection, automate recurring payouts, and deliver SNSY in under one second.

https://t.co/jxZ00rGzN9

[Sensay ⛩️✨ @asksensay]

41.6% of HR leaders reckon inconsistent offboarding costs them up to half a million a year. That isn't the cost of hiring a replacement. That's just the cost of not writing down what the last person knew before they left.

[@levelsio @levelsio]

Today is a very historical moment for AI video generation

You can now generate AI video faster than you can watch it

Before it'd take let's say 2-5 minutes to generate 15 seconds of video

@fal made a post-trained Minimax H3 variant called Max which is 50x faster than the original but still maintains quality

It generates 15 seconds of video in 9 seconds!

That means you can now do new things like build a perpetual livestream with it that never ends!

[Sensay ⛩️✨ @asksensay]

Ask any team what would happen if one specific person left tomorrow. There's always a name. Everyone knows who it is. The strange part is that knowing who your single point of failure is almost never translates into doing anything about it.

[Sensay ⛩️✨ @asksensay]

If agents end up paying per query for context, then the knowledge a company has captured becomes a metered asset rather than a cost centre. That's a more interesting reason for any of this to touch a blockchain than most of what gets pitched.

[Sensay ⛩️✨ @asksensay]

Confluence, tickets, Slack history, all of it is explicit knowledge, the stuff someone bothered to type out. The knowledge that actually runs your company is tacit, and it has never once appeared in a search bar. That's the gap nobody is pricing.

[Sensay ⛩️✨ @asksensay]

Y Combinator put the company brain on its list of startups it wants funded this year. Worth noting what most of the answers are: a wiki with embeddings bolted on. A wiki with embeddings is still a wiki, and your best people never wrote in it.

[Sensay ⛩️✨ @asksensay]

The exit interview asks people why they're leaving. It almost never asks what they know. We spend the final conversation with a departing expert diagnosing our own retention problem instead of capturing 20 years of judgement.

[Sensay ⛩️✨ @asksensay]

The people who understand why things are the way they are tend to be the ones closest to leaving. Long tenure and retirement go together. So the deepest knowledge in most companies sits with exactly the people most likely to be gone within a year or two.

[Sensay ⛩️✨ @asksensay]

A thing we got wrong early. We optimised for how much we captured per interview. Wrong metric. What matters is whether anyone retrieves it six months later. Capture is easy. Being useful at the exact moment someone needs the answer is the hard part.

[Sensay ⛩️✨ @asksensay]

Enterprises are about to spend a fortune making AI agents useful, then discover the agents are only as good as what got fed in. And what got fed in is the wiki, because the good material was never captured before the people holding it left.

[Sensay ⛩️✨ @asksensay]

Everyone's arguing about which model is best. Meanwhile MCP quietly became the standard for plugging models into real company data. The value is drifting from the model to the layer that holds what your business actually knows.

[Sensay ⛩️✨ @asksensay]

Acquired companies lose 50 to 70% of their people to voluntary turnover within three years, according to HBR. A private equity firm buys an org chart, and most of the knowledge behind it leaves before the thesis has even played out.

[Sensay ⛩️✨ @asksensay]

@JoeyjojoShabudu We agree, where there’s smoke there’s fire… or in this case, where there’s smoke the fire will follow later

[Sensay ⛩️✨ @asksensay]

The honest version of the agentic payments story: daily transactions on the main protocol fell more than 90% between December and February. The rail is real, the demand isn't there yet. Most charts in this corner of the market are measuring incentives, not use.

[Sensay ⛩️✨ @asksensay]

@Skrubjayy They’re using figures like social numbers and token holders rather than people actually using agents for payments. Sometimes even internal transactions that are botted to boost numbers

[Sensay ⛩️✨ @asksensay]

A quiet truth about onboarding. It takes six months because the person who could explain everything in a week already left. New hires reverse engineer the job from half finished docs and Slack archaeology, because the source walked out the door.