Thanefield Research

POV: you’re building a trading interface and just need great charts. The real cost of defaulting to TradingView: • Your frontend looks like every other exchange • Your competitors already have the same charts • Every serious feature takes forever to ship because of TV's idiosyncratic quirks • You still need to build and maintain the data layer • WebSockets, gaps, backfills, historical data, live streams • Order flow, footprints, TPO, heatmaps, OI, funding, liquidations all become separate projects Or use TitanCharts and skip most of that work. You get the charts, the customization layer, and the data streams already wired together: historical, live, order flow, footprints, TPO, heatmaps, OI, funding, liquidations, and more. It still takes work to build a great trading product, but your team should be spending that time on the experience, not rebuilding charting infra. If you're building a trading frontend, DM us.

I’ve been using this daily since we built it, and it has meaningfully cut down the time I spend scrolling while improving how informed I am. here's my setup: I track agentic AI pretty obsessively since it’s highly relevant to my workflow; new model drops, agent frameworks, inference tooling, anything that I might want to use. So I have the Attention feed pointed at that. in the last day alone it sent me stuff about chatgpt images 2.0, naval’s usvc, qwen’s new dense model, claude changes, all hit my Telegram before i even opened X. I also browse a couple of VC’s sights. Andreessen’s sight is especially rich because he follows 30k accounts, so a huge range of themes and ideas flows through his attention every day. It gives me a quick understanding of what’s happening in their space. The sights are replicated as closely as possible to what they see e.g. we know Andreessen spends equal time on his X feed, Substack, podcasts and old books, so Attention tries to emulate that. That’s been the sweet spot for me: less doomscrolling, still very early on the things I care about. the goal isn't more consumption, but the same context window with way less garbage in it. if you're building and trying to stay sharp without being online all day, worth 5 minutes to set up. The more specific you are, the better the signal. Then link your Telegram and let it run

Today we’re launching personalized feeds for everyone: a live, personal view into what the smartest builders are paying attention to right now, tuned to your interests. Track emerging ideas before they hit the mainstream. Read it on your dedicated feed page or get it delivered straight to Telegram. Log in, tell us what you care about, and our system handles the rest.

Vibe code your own insider-detection dashboard, whale tracker, copy-trading system, or market forensics engine on top of Polymarket. Or build something nobody's thought of yet. We just shipped the most powerful Polymarket analytics API in existence. Per-wallet PnL, unrealized positions, win rates, hold durations, category breakdowns, and filterable leaderboards. Every combination of filters is a different product. Here's what you can build with one API call: 👇

Reach out to the @percept_labs team if you're a builder!

One API across crypto, prediction markets, and order flow. Now open and free. Monitor odds, funding, toxic flow, and order book pressure from one place.

Kiyotaka API is live. It is the most complete data API for crypto and prediction markets, with first-class support for Hyperliquid and Polymarket builders. It is designed for builders working on trading infrastructure, analytics, research, monitoring, and execution systems that need a deeper view of the market than standard price feeds can offer. You can pull candles, funding rates, open interest, liquidations, volume profiles, order book heatmaps, liquidation heatmaps, market profiles, and cross-exchange aggregation through a single API. The goal is simple: less time stitching together fragmented data sources, and more time building.

Attention: see what the best minds see

Whether you are a builder, exchange or solo dev, if you want to try out world-class charting that beats TradingView and takes 30 seconds to set up, reach out to the guys at @percept_labs

Proud to power the charting and market data infrastructure behind @tread_fi. Too many teams building trading products spend months reinventing charting libraries, indicators, and data pipelines. That’s time that should be spent building what actually differentiates your platform. Percept exists so teams can skip that entire layer. Enterprise-grade charts, indicators, and market data integrated in minutes so you can focus entirely on your core product. If you're building a trading product and want to get set up in minutes, reach out.

When we invested in @davidyjeong and @tread_fi, the thesis was simple: a founder with rare technical depth, relentless execution, and a genuine insight into where algorithmic trading was heading. That thesis is playing out. They're now consistently one of the top builders on Hyperliquid, generating volume and fees that most platforms in this space never reach. We believe they're still in the earliest innings of what they're building. If you're on Hyperliquid, you should be using TreadFi.

Price charts show what moved. They rarely show why. Today we’re launching Impact Events, a new way to view prices through the events that actually drive them, each tracked with live probability odds. • Apple → foldable iPhone launches, Vision Pro follow-ups, CEO succession risk • Bitcoin → nation-state adoption, corporate treasury adoption, protocol-level changes This is powerful because markets don’t move on candles. They move on changing expectations. We map the most important event probabilities directly onto assets, giving price action real context.

Introducing Timeline, a new way to see the why behind price movements, not just the how. Timeline overlays the most relevant market-moving headlines directly on your charts, so price action always comes with context. Below, you’re looking at Trump’s Fed Chair pick odds, with each reprice mapped to the specific headlines that drove it. This helps you clearly see when narratives shift and how the market responds.

We’re excited to launch a completely new way to see prediction markets. Today we’re rolling out a complete trading stack for prediction markets, from visualization to execution. This unlocks a fundamentally different way to see how money positions before odds move. Here’s what that looks like in real time: a large sell wall appears in the Portugal Presidential Election market hours before the odds moved down sharply.

2025 was an insane year for crypto. CT was even crazier. See personal stats, mutuals, and year in review. synoptic.com/ct-stats/inver…

We just released Kiyotaka V3, our biggest upgrade ever. Now 3x more CPU-efficient, with a new flexible workspace, new widgets, a chat system, new themes & tons of QoL fixes. Your charts just got way faster.

Number 1 in 24h Builder Volume. Thank you

Crypto natives, meet Wall Street. Wall Street, meet the future. We now support live pricing for US Equities. Crypto + Equities in one place. Simple.

Today, we’re launching kScreener, a powerful new way to view markets at a glance. Unlike traditional screeners locked to a fixed set of metrics, kScreener is fully programmable — you decide what signals matter. You can combine any data into one unified view.

🚀 Today, we are releasing kScript 2.0. Just one week after v1.0, today's release brings: ✅ Dramatically improved performance ✅ Per bar execution model ✅ Custom functions & loops ✅ Enhanced compiler with named args ✅ Extended standard libs + new technical indicators