REPOGEO REPORT · LITE

banteg/takopi

Default branch master · commit 38c9f8a7 · scanned 5/22/2026, 2:09:29 PM

GitHub: 1,002 stars · 128 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface banteg/takopi, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highabout#1

Update repository description to be more explicit

Why:

CURRENT

he just wants to help-pi!

COPY-PASTE FIX

Telegram bridge for AI code generation agents (Codex, Claude, OpenCode, Pi) to manage multiple projects and resume sessions.

highreadme#2

Reposition the README H1 and opening paragraph for clarity

Why:

CURRENT

# takopi
🐙 *he just wants to help-pi*
telegram bridge for codex, claude code, opencode, pi. manage multiple projects and worktrees, stream progress, and resume sessions anywhere.

COPY-PASTE FIX

# takopi: Telegram Bridge for AI Code Generation Agents
🐙 *he just wants to help-pi*
takopi is a Telegram bridge designed to manage multiple AI code generation agents (Codex, Claude, OpenCode, Pi) across various projects and worktrees. It enables streaming progress, resuming sessions anywhere, and orchestrating parallel runs directly from your chat.

mediumtopics#3

Expand repository topics with more specific keywords

Why:

CURRENT

agent, bridge, claude, codex, opencode, telegram, worktree

COPY-PASTE FIX

agent, bridge, claude, codex, opencode, telegram, worktree, ai-agent, code-generation, messaging-interface, project-management, developer-tools, orchestration

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface banteg/takopi

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

OpenAI API

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

OpenAI API · recommended 1×
Google Cloud Vertex AI · recommended 1×
huggingface/transformers · recommended 1×
GitHub Copilot · recommended 1×
Slack API · recommended 1×

CATEGORY QUERY
How to integrate AI code generation and management directly into a messaging app?
you: not recommended
AI recommended (in order):
1. OpenAI API
2. Google Cloud Vertex AI
3. Hugging Face Transformers (huggingface/transformers)
4. GitHub Copilot
5. Slack API
6. Discord API
7. Microsoft Teams API
8. Telegram Bot API
9. GitHub API
10. GitLab API
AI recommended 10 alternatives but never named banteg/takopi. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Need a tool to manage multiple coding projects with AI agents and resume sessions.
you: not recommended
AI recommended (in order):
1. Cursor (cursor-sh/cursor)
2. VS Code (microsoft/vscode)
3. GitHub Copilot Chat
4. Codeium
5. Tabnine
6. JupyterLab (jupyterlab/jupyterlab)
7. Code Interpreter
8. OpenAI
9. PyCharm
10. JetBrains AI
11. Emacs (emacs-mirror/emacs)
12. org-mode (org-mode/org-mode)
13. llm.el (karthink/llm.el)
14. copilot.el (zerodivision/copilot.el)
AI recommended 14 alternatives but never named banteg/takopi. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of banteg/takopi?
pass
AI named banteg/takopi explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts banteg/takopi in production, what risks or prerequisites should they evaluate first?
pass
AI named banteg/takopi explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo banteg/takopi solve, and who is the primary audience?
pass
AI named banteg/takopi explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of banteg/takopi. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/banteg/takopi.svg)](https://repogeo.com/en/r/banteg/takopi)

HTML

<a href="https://repogeo.com/en/r/banteg/takopi"><img src="https://repogeo.com/badge/banteg/takopi.svg" alt="RepoGEO" /></a>

Pro

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banteg/takopi — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite