SHLEXBALLFINDER OF LOST FILES

Find any Mac file by describing it.

Shlexball finds files on your Mac from a plain-English description, searching names and contents, even inside PDFs and Word documents. It all runs locally; files are never uploaded.

Powered by a local LLM.

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30 free searches, no account. Then 9 USD a month or 59 USD a year.

THE LINEUPSpotlight vs Shlexball: the same search in both

macOS 15 or later. Apple silicon. 16 GB memory.

First setup downloads about 3.1 GB of model files. Internet required for setup; cached searches run on your Mac.

Real searches, sped up: apps, System Settings and files, from a few words.

CASE NO. 1THE HALLORAN PEARL

A short detective game. Ten files with names nobody remembers, three suspects, one stolen pearl. Describe what you are looking for, read what turns up, and name the culprit.

A game: these searches run in your browser over ten fictional files, with simple word matching. Shlexball on your Mac searches the folder you choose, with an AI model that runs on the Mac.

New research · 14 OctoberPristine, Findbench 2.0 and the supervision repairRead the note

Featured researchFindbench 2.0

Shlexball training: Pristine and the supervision repair

Our preserved 1.5B Pristine repair model passes 580 of 733 Findbench 2.0 tests. The new research note covers the gains, the training round that stalled, the supervision we repaired, and the experiments we recommend next.

Pristine repair is an experimental model awaiting release validation. These are development results for the preserved checkpoint.

Pristine repair passes 580/733 overall; Gemini 3.8 Flash passes 562/733. On the included 76-case subset, Flash passes 33 and Pristine passes 29. Switch views to see both comparisons.

One answer. Real execution. Each model’s first answer runs through the same native search broker. A pass requires exactly the expected files or refusal, with no semantic app assistance. The 733 cases form a development benchmark; the 76-case subset is already included.

The same 30 examples for the API models. Gemini Flash and Flash-Lite use medium thinking. The Shlexball models retain their trained prompts. These compare complete model and prompt recipes.

A BETTER WAY TO SEARCHFIND FILES BY DESCRIBING THEM, NOT NAMING THEM

Spotlight matches names and indexed words, so a file you can describe but not name often slips past it. Shlexball works differently: type what you remember, like “the lease PDF from last spring”, and it searches file names and the text inside PDFs and Word documents to find it. The AI model runs entirely on your Mac, so your files are never uploaded. Start with 30 free searches, no account required.

PRIVATE BY DESIGNASK YOUR MAC, NOT SOMEONE ELSE'S SERVER

Shlexball's AI runs entirely on your Mac, finding lost files like your GitHub and Stripe recovery codes in seconds — and your files never leave your Mac.

  • Runs on your Mac — no server queue, unlimited on Private.
  • Your files never leave your Mac.
  • Search works offline after a one-time model download.
  • 1.5B model, ~3 GB download.
  • Read-only by design — it never changes or deletes your files.

NOW SHOWINGWATCH SHLEXBALL SEARCH

The Shlexball launch film. The four searches in it are real, recorded on an Apple silicon Mac with the model running on the Mac.

THE METHODHOW IT WORKS

YOU> the lease PDF from last spring

SHLEXBALL> Found it. 3 files.

Type what you remember. Shlexball searches file names, dates, and the text inside PDFs and documents, in the one folder you choose. The model runs on your Mac. Shlexball only reads: it never changes, moves or deletes a file.