Devanshu

I need an aggressively masculine name for a tiny Chihuahua puppy. Nothing cute. I want a name that sounds like a 60-year-old Russian hitman trapped in a 2-pound dog’s body. Please help. I’m desperate.

WE JUST HIT 3M DOWNLOADS 📈📈📈

finally paid off all of our family debt bruhhh 😭 been working towards this for the last 1.5 years. can't even put into words what I'm feeling rn. seeing that burden finally lifted off my family's shoulders means more to me than anything I've earned so far. literally in tears rn. life feels unreal sometimes man. ❤️ God is great.

Tell Sam Altman that I use my 64GB of RAM to run print("Hello, World!"). I want him to know it's me.

regularly in awe of the incredibly smart people i work with @mastra and the opportunity i have to learn from them friday demo days always leave me shocked by the unnatural talent density of our team cannot wait to spend next week in sf with them !

new bus who dis

Agent memory gets harder the longer a chat runs. We wondered: how well does Observational Memory hold up at 100K, 1M and 10M tokens? So we ran it on BEAM, the long-term memory benchmark, with default settings. Turns out it has the top published scores at 100K and 1M:

Anthropic's S-1 shows who gets rich at $2 trillion. The filing implies about 16.9B fully diluted shares. At $2T, that is roughly $118 a share. The cap table at $2T: 1️⃣ Employees: $336B in options and RSUs, for a team of about 5,300 2️⃣ Amazon: about $217B from $6.2B of convertible notes, if fully converted 3️⃣ The 7 co-founders: $199B combined, roughly $28B each 4️⃣ Google: $112B to $140B, on an estimated 5.6% to 7% stake 5️⃣ Public Benefit Fund: $100B, a 5% stake 6️⃣ Menlo Ventures: about $30B on a reported 1.5% stake 7️⃣ Spark Capital: about $14.6B on roughly $777M invested The details worth a second read: In 2024, Anthropic granted 1.28B options at $1.30. At $118, that one year of grants is worth about $149B on paper. In April, holders sold 179.9M shares at $25.91 in a tender. Dario and Daniela Amodei were among the sellers. Weeks later, Series H priced at $58.90. The FTX estate sold its stake in 2024 for about $1.3B. At $2T, those shares would be worth around $50B. The founders pledged 80% of their equity to charity. The S-1 calls the pledges voluntary and revocable. As an investor, the Amazon line is the one I keep rereading. The structure of the check mattered more than its size.

@grok what’s planetscale used for

Earning in USD and spending in INR is the best life hack to live in India

I like to look at claims like this in case I can improve Ghostty. I grabbed your source and immediately spotted the issue: your read loop overwrites a 64 KiB ring. Everything older is discarded unparsed per tick. You're faster because you're not actually terminal emulating. It means the number isn't a throughput number. In a kitten benchmark run at the rate you're claiming, roughly 6.6 MB arrives per 60 Hz tick and 64 KiB of it gets parsed. You're read(2)-ing 100% of the data and parsing about 1% of it. There are other minor issues (a small fixed scrollback in a preallocated ring buffer, no grapheme clustering, throwing away data like OSC 8 URIs, etc.), but the major one is simply that you're discarding ~99% of the input. For plain text, e.g. your cat benchmark, the final screen ends up looking right, but the scrollback is missing 99% of the file and each retained chunk starts mid-line. As soon as there are escape sequences in the dropped spans, your emulator is fully out of sync and invalid: a cut inside a CSI prints the parameters as text, and any SGR, mode, title, or alt-screen change in the gap is just... gone. FYI, this is why I don't like when people point at refterm as a terminal benchmark. refterm implements a TINY subset of what a terminal emulator must support, it's closer to a fast file reader, not a terminal emulator. I also don't mean any shade by this. I like to look at technology objectively to try to learn something and improve my own craft and work. So I'm sharing what I found. I modified your code very slightly to parse on every full buffer (rather than per tick). And the results are attached. Both use main commit in each repo at the time of this post. Note the graph is in log scale, the discrepancy between performance for things like Kitty images is measured in GB/s.