Releases: dcadolph/whodar
Release list
v0.5.0
v0.4.0
v0.3.0
v0.2.0: Audit Remediation and Hardening
What's Changed
Full Changelog: v0.1.19...v0.2.0
v0.1.19
v0.1.18
Feedback grew up. Votes can carry a comment explaining them, from the CLI or a note field beside the web vote buttons. whodar feedback list shows everything the ranking has been taught, and whodar feedback clear undoes it by question, person, channel, or entirely. A new --feedback flag on ask, serve, and bot tunes how hard votes move ranking, from off through high. Recording is now the record subcommand.
v0.1.17
whodar can now use Claude and OpenAI, behind the egress policy that has always guarded it. The strict default still refuses anything cloud. Opt in with the redacted policy and candidates leave as anonymized numbered roles, no names, emails, or message text, with the model returning numbers and the summary written locally. The openai provider speaks the common chat-completions format, so it also reaches local servers like LM Studio with no opt-in needed. Keys come only from the environment.
v0.1.16
v0.1.15
Try whodar in one command: whodar demo builds a simulated company across all eight sources and opens the web UI over it, no credentials needed. Clicking a person now opens their full profile: email, joined identifiers, manager, channels, and everything they know, deep-linkable with ?person=. Also fixes vote buttons scattering across result cards.
v0.1.14
Clicking a person now shows who they are instead of launching a mail client: email with copy and an explicit email action, joined identifiers, and their strongest topics. A single-result answer arrives expanded, and answer JSON gains a topics field.