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Predictive Market Platform Tool Kairos Raises $2.5M in Funding, Lead by a16z Crypto

2 hours ago

February 3 — Kairos, a trading terminal built for predictive market users, announced it has raised $2.5 million in funding, led by a16z Crypto with participation from Geneva Trading, the University of Illinois, and other angel investors, per Fortune. Co-founders Jay Malavia and Zayd Alzein are targeting users by integrating two top prediction markets — Kalshi and Polymarket — and offering a fast, customizable dashboard. On Kairos, clients can view real-time trades from both platforms in one interface and receive real-time news alerts tied to those trades. Kairos claims its platform is 2-3 seconds faster than Kalshi or Polymarket’s own interfaces. The terminal has already integrated Kalshi and Polymarket, with plans to add more trading platforms soon.
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「BTC OG Insider Whale」 Deposits Another 20,000 ETH to Binance

On February 4th, per Onchain Lens monitoring, the "BTC OG Insider Whale" has just deposited 20,000 ETH into Binance, with the deposit valued at roughly $44.96 million.

8 minutes ago

In the past 24 hours, the entire network has seen $285 million in liquidations, with both longs and shorts getting rekt.

On February 4th, per Coinglass data, total liquidations across the network hit $285 million over the past 24 hours—$177 million from long positions and $108 million from short positions.

8 minutes ago

If Bitcoin drops below $75,000, the mainstream CEX's aggregated long liquidation volume will reach 498 million.

**Feb 4 Update: Bitcoin Liquidation Intensity (Coinglass Data)** Per Coinglass data, if Bitcoin dips below $75k, cumulative long liquidation intensity across major centralized exchanges (CEXs) will reach $498 million. Conversely, a breakout above $79k would trigger $637 million in cumulative short liquidation intensity for the same CEXs. **BlockBeats Note**: Liquidation charts do not show exact contract counts or values. Bars instead reflect how important each liquidation cluster is relative to adjacent ones (i.e., "intensity"). This means the chart signals the impact of hitting a price level: higher bars mean a more intense price reaction due to a liquidity cascade.

8 minutes ago

Whale "Long-Term Bitcoin Short" Sets New BTC Limit Buy Order at "Buy the Dip" Price Range of $59,138-$64,967

On February 4th, HyperInsight monitoring (via https://t.me/HyperInsight) shows the "Long-Term BTC Bear" whale (address 0x5d2f4) has placed new BTC limit orders. The order book currently reflects: - A 100 BTC buy order triggered if BTC falls to $64,967 - A 200 BTC buy order triggered if BTC falls to $59,138 Previously, the whale opened a 20x leveraged short position of 499.91 BTC at $111,499.3. As of now, the short position has been reduced to 109.91 BTC, with $3.686 million in remaining profit and $10.0011 million collected in funding fees via settlement.

8 minutes ago

A whale has once again increased its HYPE holdings after 2 months, with a total position of over $20 million accumulated.

On February 4th, LookOnChain tracking data shows a crypto whale deposited 4 million USDC into Hyperliquid (https://app.hyperliquid.xyz/join/NTOD) once more to buy HYPE—marking a return after a 2-month hiatus. The whale currently holds 591,470 HYPE (valued at roughly $20.17 million), with an additional 2.43 million USDC earmarked for further HYPE purchases.

8 minutes ago

Vitalik: Unless L2 can "scale to the limit" or make a breakthrough, the original vision is no longer valid

On February 3, Ethereum co-founder Vitalik Buterin tweeted: “Now that Ethereum’s Layer 1 (L1) has scaled significantly and its gas limit has risen sharply, the original vision of ‘brand-based sharding’ for Layer 2 (L2) is no longer necessary. L2s cannot fully deliver the intended features of ‘brand-based sharding,’ and some projects may even stay in Stage 1 indefinitely to meet customer regulatory requirements. Thus, L2s should be repositioned: instead of just chasing scalability, they should offer unique additional features—like privacy-focused virtual machines, application-specific efficiency, maximum scalability, non-financial use cases (social, identity, AI), low latency, or built-in oracles.” Best practices for L2s include: upholding at least Stage 1 standards (otherwise, they’re essentially independent L1s with bridges) and prioritizing interoperability with Ethereum as much as possible. Additionally, exploring integration with native rollup precompiles (ZK-EVM verification)

8 minutes ago