Connor Daly

Big update for ChronoSeek: We’ve just released our Developer API. You can now integrate directly with our Video Moment Retrieval subnet on Bittensor. This unlocks: • AI agents with video memory • Plugins & integrations • Custom apps built on semantic video search ChronoSeek is no longer just a demo — it’s becoming infrastructure. 🔗 API: api-dev.chronoseek.org 📘 Docs: dev.chronoseek.org/docs 🧪 Swagger: dev-api.chronoseek.org/developer-api/… This is the foundation for everything we’re building next. Excited to see what others build on top 🚀

@_SilasVane Thanks, Silas. FYI - API responses are ranked by confidence.

@creativeessenx Nice launch. The API angle is the right move—semantic moment retrieval gets way more useful once agents can call it directly. Curious whether you expose timestamp-level confidence or just top-k moments.

ChronoSeek update ⚡ We’ve implemented an asynchronous streaming pipeline for search results. Instead of waiting for all miners to respond, the UI now streams results as soon as any miner returns. → Faster perceived latency → Smoother UX → More responsive retrieval experience Small infra upgrade, big impact on usability 🚀

Last month, we introduced ChronoSeek — a Video Moment Retrieval subnet on Bittensor. Today, we’re sharing progress. We now have a working demo that lets you: • Upload a video • Describe a scene in natural language • Retrieve the exact moments (timestamps) We’ve moved from idea → testnet implementation. Why this matters: Video is becoming the largest unstructured data source, yet it’s still not searchable by meaning. ChronoSeek turns video into a semantic database — and brings this capability into a decentralized, competitive network. 🔗 Demo: dev.chronoseek.org 💻 GitHub: github.com/chronoseek/bit… Demo video below 👇

ChronoSeek update ⚡ Video ingestion is now much more robust across platforms with stronger protections (cookie-based protection, anti-bot detections ...) → More coverage → Better synthetic data → Closer to open-domain video search Building toward something much bigger.

🚨 Sam Altman literally gave a 43-minute masterclass on turning ideas into billion-dollar companies. Most people will never watch it. And instead of hype, he broke down what actually makes startups work. No fluff. Just reality. He explained that ideas don’t matter nearly as much as execution. The difference between something small and something massive isn’t the idea it’s how relentlessly it’s built and improved over time. He also emphasized that the best founders don’t chase everything. They focus on one thing that truly matters and push it forward with extreme clarity. Distraction kills more startups than competition ever will. And then there’s scale. Truly big companies aren’t built for a niche they solve problems that millions of people care about. If the market isn’t large enough, the outcome won’t be either. His biggest insight? Startups don’t win because they’re smarter they win because they stay in the game longer and iterate faster. That’s why this masterclass stands out. Because while most people are waiting for the perfect idea… The best ones are already building.

You can search text. You can search images. But you still can’t search video properly. We’re fixing that. ChronoSeek: → Describe a moment → Get the exact timestamp Decentralized. Incentivized. Scalable. Whitepaper is live ↓ dev.chronoseek.org/whitepaper

Huge thanks to the community and partners supporting us along the way — we truly appreciate the opportunity. We’re committed to pushing this forward and turning ChronoSeek into a meaningful piece of infrastructure for the ecosystem. Special thanks to @HackQuest_ @snowman888 @LeadpoetAI @bitstarterAI @macrozack @camfairchild @offici

Big thanks to the Basilica team for supporting builders in this hackathon and providing compute resources 🙏 We're excited that ChronoSeek passed Round 1 (Ideathon) and we're now building the project on testnet. Would love to learn the best way to leverage Basilica's compute support as we continue development. Appreciate the help! #basiilica #bittensor #subnet #chronoseek $TAO

We're the compute sponsor for the @opentensor x @HackQuest_ Subnet Ideathon! Registration closes in less than 48 hours. Every Round 2 team gets Basilica credits to build on testnet. If you have a subnet idea, get in before it closes. hackquest.io/hackathons/Bit…

Honored to pass the Ideathon round 🚀 Huge thanks to the judges for the thoughtful feedback and to @opentensor & @bitstarterAI for making this possible. Now onto the hackathon - time to build decentralized semantic video search. ChronoSeek!!! Let's ship together! #bittensor #subnet #ideathon #hackathon #video #search

Bittensor Subnet Ideathon — Round I Results 🏆 After reviewing an incredible set of submissions, we’re excited to announce the teams moving forward to Round II (Testnet Phase). Both our Top 7 and Honorable Mention teams will advance to the next round. Top 7 Teams (Ranked Alphabetically): • C-SWON — Aditya Singh • ChronoSeek — Connor Daly • Defektr — Hiw3 • Mentiss_AI — Jeremy Wang • OpenMind — Bello Iteoluwakisi • Proven — Christopher H.G • vividverse — @vividverseai Honorable Mentions: • BitDefense — A.G. • DaVinci — Chris Romano • Keyword Intelligence Subnet (KIS) — Ozan Andaç • Moirai Subnet — @ai_moir • Probity — Dicky Bayu Sadewo • Query Agent — Daniel Derefaka • sotarad-ai — Wade • Talos Protocol — Christopher H.G • TensorClock — Valeriy Lihachev • Titan — JKohav With over 150+ projects, the competition was fierce — and these teams stood out for their strong mechanism design and promising subnet ideas on @opentensor 👏

@hyper_tensor Legendary team! keep pushing things hard!

Testnet Hoskinson 2.0 is now live. This upgrade introduces several protocol and node-level improvements: Core updates - Delegate Accounts for nodes - New node reputation events - Fixed reputation update bug affecting removed nodes - Improved peer system alignment with modern P2P standards - Expanded functionality in precompiled smart contracts Delegate Accounts Delegate Accounts allow nodes to specify a separate address to receive a configurable portion of node emissions. This enables: - Reward routing to teams or operators - Contract-based logic for emissions - Business and organizational distribution models - Separation of operational and treasury accounts Delegate Accounts are optional and fully controlled by node operators; the delegate account holder can update the delegate account address themselves. This is an infrastructure-level primitive designed to enable more flexible and scalable node operations. A key step toward production-grade node coordination and scalable network operation has been achieved!

@markjeffrey @openclaw Huge, great job!

Attention @openclaw users 🦞 If you want S3-compatible storage at 1/10th the cost of *every* other solution, use Hippius (Bittensor SN75) 🎉 Hippius SKILL is live on ClawHub! clawhub.ai/skills/hippius What's included: - S3 storage operations (upload/download/list/sync) - x402 USDC micropayment integration - Python scripts for querying and running a payment proxy - Full reference docs

@opentensor @UnsupervisedCap @basilic_ai @bitstarterAI Quick clarification needed: when will the prizes be released - after Round 1 or Round 2? Just want to confirm whether this is meant as an ideathon or a hackathon prize.

Reminder: Keep building. Think it. Pitch it. Build it. τ Bittensor Subnet Ideathon (Round 1) closes Feb 25. - $18K cash prize pool - Up to 𝞃1000 discretionary funding from @UnsupervisedCap - $5K @basilic_ai compute credits - Direct entry to @bitstarterai accelerator Registration live → build the next subnet on Bittensor. hackquest.io/hackathons/Bit… Own the future. #Bittensor $TAO #SubnetIdeathon @hackquest_

@snowman888 👍👍👍

I’ve been active in the Bittensor ecosystem for ~2.5 years, starting as an investor to gain AI exposure, then quickly moving into mining and working across 15+ subnets. I’ve seen both strong and fragile designs up close As an Ideathon judge, I’ll be looking for teams that demonstrate clear incentive–mechanism alignment with business goals, a strong sense of product–market fit, and ideas where Bittensor can genuinely supercharge the vision I’m genuinely looking forward to providing feedback and serving as a soundboard as teams evolve their ideas into MVPs Excited to see what builders bring forward 🦾 #Bittensor $TAO #SubnetIdeathon

@ultrashinyx What if this could be built in a fully decentralized way? Compute providers. Image & video manipulation platforms. etc And a swarm of insanely smart nerds competing with each other to win rewards. This is going to be insane.

@OpenInterX 📽️ Watch it in action: drive.google.com/file/d/1n43GDZ… #AI #VideoSearch #LLM #MultiModal #Hackathon #OpenInterX

🥈 We won 2nd place at the OIX Hackathon (May 17), hosted by @OpenInterX! Team: ShiftLayer 🛠️ In just 5 hours, we built a web app that lets users jump to exact moments in a video using natural language prompts. Instead of scrubbing through timelines, just type: “Where the speaker mentions decentralization” And we take you there 🎯 Hackathon theme: AI + Video Built with MAVI API + LLMs Proud of the team and grateful to the organizers! 🙌 #OIXHackathon #AI #LLM #VideoSearch

@RahulKumaran4 Welcome back!

I guess I’m coming back to the $TAO ecosystem. Having worked in the $TAO ecosystem for close to 2 years through Foundry & Yuma, and the last 6 months away building a core AI product, I think it’s time to come back. This time as a subnet builder to build the “Mercor for computer-use agents”…..PROVIDED I can find a good incentive mechanism for this. After having been in Bittensor for a long time, I always told myself that I wouldn’t build a subnet for the fuck of it, but build one if and only if there could be a true value unlock for my product. We are not thinking of building a subnet because we can. We built a product first, and it just so happens that there is an avenue where Bittensor could help us build a better product. Over the last 6 months I’ve been working on @TryBrowzer Initially it started as an agentic browser, but later I realized my goal wasn’t to add AI to a browser. It was to build a better, content-aware automation system for meaningful workflows. Building automation systems is easy if you have good underlying models, and to get good underlying models you need good and relevant data. Browzer has a functional product that’s being used by people & generates revenue. Today we’re at $3,500 in MRR. The last few days I’ve been brainstorming how we could tie the product with a subnet to (1) get better training data (2) increase our revenue (3) bring $TAO to the limelight (4) increase $TAO/alpha distribution. While a lot of the details are in the works and I’m still figuring out the best incentive mechanism for this (everything so far has been experimentation), if anyone has ideas I’d love I chat. I believe Bittensor’s economic system, combined with a robust incentive mechanism could help unlock and financially incentivize people to provide solid workflows to build better computer use agents by improving the base foundational model capabilities. *THE CORE PROBLEM I’M TRYING TO ADDRESS* If I used Comet or other Agentic browsers or any AI based automation system, I couldn’t automate the work that mattered because it had no data to do so. The difference between coding agents vs computer-use agents is that coding agents had readily available context - codebases. But computer use agents have nothing - other than browsing history. History never paints a full picture, you can only understand the user journey. What never gets captured, but is super critical context is - - how a user interacts within a website - what info they fill in forms - how they fill it Computer use agents today are okay, but there’s a long way to go before they’re used for meaningful business process automation. And that’s what Browzer tries to solve. We allow users to record their critical workflows and we capture a bunch of info (videos + dom) and then use that context to automate any similar workflows. But this is where the problem is - computer-use agents aren’t inherently great. We need more data to train and build better foundational computer-use capabilities. A lot of frontier labs are looking for high quality labeled computer-use datasets. And that’s something that’s not very easy…but, I believe, is an amazing use case where Bittensor can shine. Would love your thoughts @const_reborn @JosephJacks_ @badenglishtea @DreadBong0 @EvanMalanga @Old_Samster @CryptoZPunisher

@basilic_ai Legend