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FlashQLA
A
Fathom
S
ChatGPT Operator
B
Rows
A
TaglineQwen's open-source GPU kernel library that squeezes 2–3× more speed out of linear attention on NVIDIA Hopper hardware — if you're lucky enough to own one.Meeting notes, free forever for individuals.OpenAI's browser agent. Clicks and types on websites for you.Spreadsheets with AI + live integrations baked in.
CategoryDev PlatformMeetingsAgentsData
PricingFree (MIT License, open-source)Free for individuals + $15-$29/user/mo teamsIncluded with ChatGPT Pro $200/moFree + $19-$89/user/mo
Best forML engineers and researchers running Qwen3.x linear-attention models on H100/H200 clusters who need to close the gap between theoretical GDN efficiency and actual hardware throughput.Solo operators, freelancers, small teams on a budget.Power users willing to pay $200/mo for a browser bot.Ops teams, marketers, anyone building dashboards from multiple sources.
Strengths
  • 2–3× forward-pass and ~2× backward-pass speedup over FLA Triton kernels on Hopper GPUs
  • Gate-driven automatic intra-card context parallelism boosts SM utilization in long-sequence, small-head-count regimes without manual config
  • Hardware-friendly algebraic reformulation reduces Tensor Core, CUDA Core, and SFU overhead with no numerical precision loss
  • MIT licensed and fully open-source — drop it straight into Qwen3.x training and inference pipelines
  • Unlimited free tier for solo use
  • Strong summaries + action items
  • Works in Zoom, Meet, Teams
  • Actually uses websites — fills forms, clicks, checks out
  • Built into ChatGPT
  • Good for repetitive web tasks
  • Pull live data from Stripe, Slack, Google Analytics, etc.
  • AI functions inside cells
  • Modern UX
Weaknesses
  • Extremely narrow hardware requirement: SM90+ only (H100/H200, DGX Spark) with CUDA 12.8+ and PyTorch 2.8+ — useless outside Hopper-class clusters
  • GDN/Qwen-specific: not a drop-in replacement for FlashAttention-style softmax kernels, and won't help you if you're not running linear-attention Qwen models
  • Very new, minimal community adoption or third-party validation yet
  • Bot-joining model
  • Team features gated
  • Slow vs doing it yourself
  • Breaks on complex auth flows
  • $200/mo gate
  • Not a full Excel replacement for heavy users
  • Integrations best on paid tiers
Kai's verdictA genuinely impressive, laser-focused kernel optimization from the Qwen team — real speedups on real hardware — but its utility is gated behind Hopper GPUs and Qwen's GDN architecture, making it a niche power tool rather than a broadly useful library. (Verdict pending Phi's full review.)S-tier for solo + free. The best free option, hands down.B-tier. Still early. Manus is more flexible for less money.A-tier. The most interesting spreadsheet in years. Great for ops dashboards.
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