tookie-osint
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Tookie is a advanced OSINT information gathering tool that finds social media accounts based on inputs. - Alfredredbird/tookie-osint
python3 brib.py --tor <username>
Summary
tookie-osint is an open-source command-line tool that searches for a given username across multiple websites to find associated accounts, aimed at OSINT practitioners and investigators doing footprinting or social-media reconnaissance rather than broad attack-surface scanning. It runs interactively from the terminal, with a .deb package available for Kali and other Debian-based distributions, and a built-in webscraper (--harvest) that pulls live data from matched sites to build a fuller profile, including subscriber counts, post counts, handles, and bios. Started in 2023 and maintained by 26 contributors, it has seen 85 commits and 11 releases in the past year, with its last release 119 days ago, indicating active but not rapid-fire development.
Tookie is a advanced OSINT information gathering tool that finds social media accounts based on inputs. - Alfredredbird/tookie-osint
How tookie-osint helps
Which platforms has a person signed up on under a given username?
checks the username against its list of supported sites and reports back every one where a matching account exists
What does a person's profile actually look like on the sites where their username turns up?
pulls live data from each matched site and returns subscriber counts, post counts, handles, and bios so the reader gets a fuller picture without visiting each site by hand
Is a username actually tied to a real, active presence or just a registered handle?
the scraped counts and bio data reveal whether an account shows real activity versus an empty or abandoned signup
How much of an investigation's footprint can be pieced together from one username alone?
aggregates every matched site's scraped profile data into a single report covering username, handle, bio, and activity counts across all platforms found
Languages
Command line
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Score card
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Shipping velocity releases a month, last 12 months
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Documentation quality release-notes rubric, 0–100
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Breaking-change discipline how rarely a release breaks users, and notice given
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Maintenance risk quiet time against its own cadence, maintainers
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Innovation & surface new capabilities, API and MCP surface
- Community health
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Contributor trend distinct committers, this year against last
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Maintainer concentration bus factor now against a year ago
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Issue backlog trend issues closed per issue opened, 12 months
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Responsiveness median time to a maintainer’s first reply
Nine scores for tookie-osint, each built from the releases, notes and API history this site tracks — and, on Researcher and Business, where it stands among every measured tool in its category and how that has moved.
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Blank means never measured; nothing here is a filled-in zero.
Peer standings are included with Researcher and Business. See how this tool ranks against its competitors, using data we don't publish anywhere else.
See plans →Each score is 0–100 on a published rubric, derived from data this site already shows. A dimension we cannot measure says so — it is never scored 0 and never enters a rank.
How this is scored
- Shipping velocity — releases a month over the last 12 months, on a log scale where 16 a month scores 100. Needs 3 releases in the window.
- Documentation quality — the release-notes rubric published on the analytics page, unchanged.
- Breaking-change discipline — the share of releases carrying a breaking change (none scores 100, half or more scores 0). Only projects that label breaking changes are measured: a clean record cannot be told from an unlabelled one.
- Maintenance risk — quiet time measured against the tool's own release cadence (quiet longer than 90 days and three typical gaps scores 0), plus the number of active maintainers and whether contributors are growing, where known. Higher is lower risk.
- Innovation & surface — new capabilities in the feature ledger this year, API and MCP operations added, and the share of commits that are features: the mean of whichever we hold.
- Community health (open-source tools only) — each is a direction, not a size: contributors this year against last, the bus factor now against a year ago, and issues closed per issue opened, where steady scores 50, doubled 100 and halved 0; plus the median time to a maintainer's first reply (an hour scores about 100, a month or more 0). A commercial card has no repository and carries none of the four.
- Documented delivery (commercial tools) — when a vendor's documented new capabilities have slowed against its own baseline, that counts against the overall standing as heavily as two low dimensions. Steady delivery, or too little history to judge, leaves the standing alone; it is never a sixth score.
- Open-source tools are scored on repository signals; commercial tools on their published changelog. Ranks compare tools within one category and one profile and need at least five measured peers; the overall standing needs three ranked dimensions. Best-in-breed or consolidator is a shape, not a quality, and is never scored.
Release-note detail over time
See how much detail tookie-osint puts in its release notes, quarter by quarter, and compare it with tracked tools in the same category. This history uses up to ten retained, reviewed notes per tool; sparse or blank older quarters may reflect that limit.
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Releases
5 entries
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- October 20261
- April 20263
- July 20241
Project health
Issue, contributor and maintainer activity in Alfredredbird/tookie-osint, 2023-10 – 2026-09, as of 2026-09-25. Twelve-month figures first; the trend lines run the whole window.
- Contributors 10 +3 vs prior 12 months
- Maintainers 1 +0 joined · −1 left, last 12 months
- Bus factor 1 committers behind half the commits
- Community-filed 100% of issues opened, last 12 months
- Median time to close 7.6 days first maintainer reply 13 hours
- Open backlog 0 of 27 issues ever filed
- Issues opened / month 0 · 0 communitymaintainers
- Open backlog 0
- Contributors / month 3
- Commits / month 7
- Stars 2,931
- other 100%
Counts from the project's public repository and git history; no individuals are identified. Maintainers are the committers covering 80% of the last year's commits. how we measure this
Libraries its release ships
What its latest release locks, checked against known advisories.None of its release's images build from a lockfile we can read.
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