\n Quicksilver Fuzzy Search\n

\n O(n) LiquidMetal-style scoring across 20,000 Unix-like paths. Type\n to search; results highlight matched letters. Timing includes\n scoring and sorting; metadata loads async.\n

\n\n

\n 🔎\n setQuery(e.target.value)}\n onKeyDown={handleKeyDown}\n placeholder=\"Try: nginx conf, usr bin, docker yml, systemd service...\"\n className=\"w-full bg-gray-50 border border-gray-300 rounded-md px-3 py-2 focus:outline-none focus:ring-2 focus:ring-indigo-500 focus:border-indigo-500 text-gray-900\"\n />\n

\n {query && (\n setQuery(\"\")}\n className=\"text-sm text-gray-600 hover:text-gray-900 px-3 py-2 border border-gray-300 rounded-md bg-white\"\n >\n Clear\n \n )}\n

\n\n

\n {exampleQueries.map((q) => (\n setQuery(q)}\n className=\"text-xs md:text-sm px-3 py-1 rounded-full border border-indigo-200 text-indigo-700 bg-indigo-50 hover:bg-indigo-100\"\n >\n {q}\n \n ))}\n

\n\n

\n \n \n {\" \"}\n Dataset: {paths.length.toLocaleString()} paths\n \n Matches: {matches.toLocaleString()}\n Time: {ms.toFixed(2)} ms\n \n \n Meta loaded: {Object.keys(metaCache).length}\n \n

\n\n

\n {query && results.length === 0 && (\n

No matches found.

\n )}\n {!query && (\n

\n Start typing to fuzzy search 20k paths.\n

\n )}\n\n {results.length > 0 && (\n \n {results.map((r, idx) => {\n const selected = idx === selectedIndex;\n const meta = metaCache[r.path];\n return (\n setSelectedIndex(idx)}\n onClick={() => chooseIndex(idx)}\n >\n

\n \n \n \n

\n {meta\n ? (\n <>\n \n 👤\n {meta.owner}\n \n \n 📦\n {formatKB(meta.sizeKB)}\n \n \n 📝\n {meta.type}\n \n \n ⏱\n {meta.modified}\n \n \n )\n : (\n \n \n loading metadata...\n \n )}\n

\n {(r.score * 100).toFixed(1)}%\n

\n \n );\n })}\n \n )}\n

\n\n

Details

\n {selectedIndex >= 0 && selectedIndex < results.length\n ? (\n

\n \n

\n Score:{\" \"}\n {(results[selectedIndex].score * 100).toFixed(2)}%\n

\n Metadata\n

\n {metaCache[results[selectedIndex].path]\n ? (\n

\n Owner:{\" \"}\n {metaCache[results[selectedIndex].path]!\n .owner}\n
\n Size: {formatKB(\n metaCache[results[selectedIndex].path]!\n .sizeKB,\n )}\n
\n Type:{\" \"}\n {metaCache[results[selectedIndex].path]!.type}\n
\n Modified:{\" \"}\n {metaCache[results[selectedIndex].path]!\n .modified}\n

\n )\n : (\n

\n \n fetching metadata...\n

\n )}\n

\n chooseIndex(selectedIndex)}\n className=\"px-3 py-2 rounded-md bg-indigo-600 text-white hover:bg-indigo-700 text-sm\"\n >\n Copy path\n \n

\n )\n :

No selection.

}\n

\n\n

Scoring notes

\n Matches at word boundaries (/, -, _, ., space) or camelCase\n transitions are favored with buffer scoring.\n
\n Adjacent matches implicitly gain weight as there are no buffer\n penalties between them.\n
\n Trailing unmatched characters are penalized; matches starting at\n index 0 are penalized less.\n
\n Timing shown is for scoring and sorting across all{\" \"}\n {paths.length.toLocaleString()} paths on each input change.\n
\n Type letters with spaces; spaces are ignored in matching to\n emulate Quicksilver behavior.\n

\n\n {toast && (\n

\n {toast}\n

\n )}\n