News linked to both this project and an event.
Odaily News: Bloomberg ETF analyst Eric Balchunas said on X platform that Bitcoin ETF inflows reached approximately $1 billion this week, marking the best weekly performance since April and the third-best week since the Silent IPO disrupted market performance in October last year.Since the Coldcard hack, IBIT, FBTC and a few other Bitcoin ETFs have seen consecutive daily inflows, and the correlation makes it hard to ignore the causal relationship. He noted that if the seemingly worst-case scenario of a cold storage Bitcoin hack marks the start of the next rally, it would be ironic but also in line with its usual characteristics.
Odaily News, Stacks co-founder Muneeb shared his views on the Coldcard wallet incident, summarizing lessons learned in three areas: Bitcoin storage strategy, quantum computing threats, and ecosystem security building. Regarding Bitcoin storage strategy, he noted that many industry security experts are not even familiar with Coldcard, and top-tier security research institutions may not have conducted thorough audits of its code. Muneeb believes the best approach going forward should be asset diversification rather than concentrating all funds in a single solution, and suggested:1. Allocate 20%-30% of BTC to ETFs, such as BlackRock's Bitcoin ETF IBIT, for professional custody and regulatory protection;2. Allocate 40%-50% of BTC to multisignature solutions like Casa, such as the three-key model, spreading keys across security companies, mobile devices, and hardware wallets;3. Allocate 20%-30% of BTC to more advanced self-custody approaches, combining different hardware wallets and diverse entropy sources.On the quantum computing threat, Muneeb stated that once quantum computers break through existing encryption systems in the future, Bitcoin users may experience a shock similar to "BTC suddenly being transferred out of cold wallets." The quantum threat is real, and the industry should prepare in advance rather than underestimate technological progress, especially against the backdrop of large language models accelerating scientific research breakthroughs.