Perplexity
Beyond Market Intelligence keeps Perplexity in one place: 6 stories so far. The section currently leads with “Perplexity Transforms Search with CobbleDB, Achieving 5x Faster Queries”, “Keep data local while AI agents work across cloud and device”, and “Compact AI runs 400 tokens per second on a laptop CPU with 60 MB”. Perplexity has quietly rebuilt its search backbone, moving from Amazon DynamoDB to CobbleDB, its own key-value store written in Rust. Your files stay put. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every Perplexity story on Beyond Market Intelligence, newest first.
Perplexity Transforms Search with CobbleDB, Achieving 5x Faster Queries
Perplexity has quietly rebuilt its search backbone, moving from Amazon DynamoDB to CobbleDB, its own key-value store written in Rust. The result is a fivefold speed boost and lower costs on large document batches, all while handling serious production traffic. That is the kind of infrastructure bet most teams talk about but rarely pull off. For deeper looks at similar moves, Cloudflare's blog migration to EmDash shows how internal tools can reshape performance.
Keep data local while AI agents work across cloud and device
Your files stay put. That's the quiet power of Perplexity's hybrid compute launch for its agentic platform, Computer. Rather than forcing a choice between cloud intelligence and local privacy, this system lets a single agent split the difference, routing sensitive subtasks to open-weight models on your Mac while heavier reasoning stays in the cloud. It's a smarter gate, not a higher wall. For professionals juggling privileged files, that's a meaningful step toward practical, trustworthy automation.
Compact AI runs 400 tokens per second on a laptop CPU with 60 MB
A 250M parameter model that runs at 400 tokens per second on a laptop CPU, no GPU required, is a practical statement about efficiency. The 60 MB deployment, achieved through sub-2-bit quantization, and the 1-bit disk cache for long context are the technical details that matter here. The developer trained it on 30B tokens and built a vocabulary from fixed 512-bit codes, which is an unusual choice that shows in the WordSim-353 scores.
Perplexity's India revenue climbs 60% as free AI offer reshapes adoption
Perplexity's free AI offer brought in millions of new users across India, yet the real story is what happened next. Even after the Airtel promotion ended for new signups, Perplexity's India revenue climbed about 60%. Downloads fell, but engagement held. That points to lasting value, not just a spike. It's a useful reminder that adoption means little without retention.
Rebuilding a Smarter Language Model from the CPU Up
After six months away, developer zemondza is rebuilding NORD, their spiking language model, with a sharper focus: CPU-first inference from the ground up. The new version, NORD 5.5 Flash, drops the artificial spike-time dimension in favor of using the actual token sequence as the time axis. That's a cleaner design choice. The goal isn't to outrun Transformers, but to see if a simplified, truly causal architecture holds its own. We're curious to see the benchmarks when they arrive.
Polar brings an AI-native browser to transform how knowledge workers explore data
When Perplexity's team helped build tools for Comet's launches, they learned what knowledge work demands: speed, context, and clarity. Now Polar enters with an AI-first browser aimed squarely at that crowd, backed by a $5.7 million seed round led by Madrona. It's a smart bet, but it also raises a fair question about how much trust we place in AI companions.