Phind

Phind draws heavily technical users from HackerNews who evaluate it against GPT-4. The community sentiment is cautiously optimistic but polarized. On the positive side, multiple users praise Phind's speed (reported ~100 tokens/sec vs GPT-4's ~20 tokens/sec) and its ability to recommend specific libraries with less coaxing than GPT-4. One user reported it found an obscure GPU power connector in seconds that hours of traditional searching couldn't locate. Several users found it 'GPT-4 level' for specific coding tasks like writing web3 TypeScript or understanding regex. On the negative side, users report Phind sometimes hallucinates confidently—fabricating support for features that don't exist (Cisco LISP replication), failing to implement algorithms in Haskell while claiming validity, and producing worse SQL queries than GPT-4. The search mode was found to be inferior to chat mode for deeper expertise questions (IoT device authentication). Users question the 'beats GPT-4 at coding' benchmark claims, citing potential HumanEval dataset contamination and noting benchmarks don't capture real-world complexity. Pricing structure draws skepticism: the 8x price-per-search gap between Plus and Pro tiers makes users question either margin greed or sustainability. UI complaints focus on dark mode readability. Self-taught programmers and non-primary coders report high utility, while experts find more limitations. Several users note it's a better search engine than Google/Kagi/Bing for technical queries, even when its code generation falls short.

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