Phind

Phind draws a technically sophisticated user base (HackerNews developers) who rigorously benchmark it against GPT-4. Results are decidedly mixed. On the positive side, users praise its speed (reportedly up to 100 tokens/second vs GPT-4's ~20), its eagerness to recommend specific libraries without coaxing, and its ability to find obscure technical information (one user found an unusual GPU power connector in seconds after hours of failed traditional searching). It's described as a better search engine than Google/Kagi/Bing for niche technical queries. Self-taught programmers find it genuinely helpful for automation tasks. However, significant criticisms emerge repeatedly. Multiple users report Phind confidently hallucinates answers — it claimed Cisco LISP supports map server database replication (it doesn't) and fabricated a Haskell implementation of blocked clause decomposition, then 'bullshitted about validity.' GPT-4 still outperforms on complex tasks like PostgreSQL query generation and specialized domains like geospatial ML. The 'beats GPT-4 at coding' claim is called 'deceptive' by one commenter, noting the benchmark link didn't even include GPT-4. Pricing draws skepticism: an 8x price-per-search difference between Plus and Pro tiers makes users question either overcharging or unsustainable subsidization. Dark mode UI is criticized as hard to read. The model reportedly failed entirely on LeetCode-style problems when certain options were enabled. Some users note it has improved over time but still falls short for deep expertise questions like IoT device authentication.

No aggregate ratings were found for this product during the last harvest.