Not in the top 1,000 by GitHub stars
Latifox/find-me-saas
Most AI will tell you your startup idea is brilliant. This one researches it properly and scores it out of 100. The two ideas I have put through it came back 43 and 28
History
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skills/competitor-mapper/SKILL.md
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skills/desire-evaluator/SKILL.md
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skills/idea-scoring/SKILL.md
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skills/pricing-and-wtp/SKILL.md
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skills/retention-predictor/SKILL.md
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skills/tam-sam-som-builder/SKILL.md
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skills/trend-analysis/SKILL.md
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skills/trend-to-product-mapper/SKILL.md
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skills/user-background-interviewer/SKILL.md
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skills/user-segmentation-profiler/SKILL.md
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Verified commit 135ec900b3c581b64745ce2d488035fa6a80efee
git clone --filter=blob:none --no-checkout https://github.com/Latifox/find-me-saas.git .hotskills/latifox-find-me-saas && git -C .hotskills/latifox-find-me-saas checkout --detach 135ec900b3c581b64745ce2d488035fa6a80efee
# Copy each selected skill directory from .hotskills/latifox-find-me-saas into .claude/skills/<skill-name>/git clone --filter=blob:none --no-checkout https://github.com/Latifox/find-me-saas.git .hotskills/latifox-find-me-saas && git -C .hotskills/latifox-find-me-saas checkout --detach 135ec900b3c581b64745ce2d488035fa6a80efee
# Copy each selected skill directory from .hotskills/latifox-find-me-saas into .agents/skills/<skill-name>/git clone --filter=blob:none --no-checkout https://github.com/Latifox/find-me-saas.git .hotskills/latifox-find-me-saas && git -C .hotskills/latifox-find-me-saas checkout --detach 135ec900b3c581b64745ce2d488035fa6a80efee
# Copy each selected skill directory from .hotskills/latifox-find-me-saas into .cursor/skills/<skill-name>/Heat
0.3- Star growth, last 7 daysNot available
- Star growth, last 24 hoursNot available
- Rank movement, last 7 daysNot available
- Commits, last 30 daysNot available
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekNot available
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
30-day change not yet available: not enough history.
Individual skills in this repository
- cac-modeler
skills/cac-modeler - competitor-mapper
skills/competitor-mapper - decision-memo
skills/decision-memo - desire-evaluator
skills/desire-evaluator - distribution-analysis
skills/distribution-analysis - idea-scoring
skills/idea-scoring - pivot-engine
skills/pivot-engine - pricing-and-wtp
skills/pricing-and-wtp - retention-predictor
skills/retention-predictor - tam-sam-som-builder
skills/tam-sam-som-builder - trend-analysis
skills/trend-analysis - trend-to-product-mapper
skills/trend-to-product-mapper - user-background-interviewer
skills/user-background-interviewer - user-segmentation-profiler
skills/user-segmentation-profiler - weakness-detection
skills/weakness-detection
How it works
cac-modeler
When your agent uses it
Models LTV, CAC by channel, LTV:CAC ratios, and payback period for an indie developer. Uses market_insights to calibrate channel CPMs and competitive intensity. Includes indie budget tier definitions and viability thresholds.
What it loads into context
Frontmatter
54 tokensAlways available to the agent
SKILL.md
5,084 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Input
- LTV Estimation
- CAC by Channel
- LTV:CAC Ratio Thresholds
- Payback Period Calculation
- Viability Verdict
- Process
- Output
- Notes
Files
SKILL.mdcore19,623 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubcompetitor-mapper
When your agent uses it
Maps the full competitive landscape — direct, indirect, substitute, and emerging competitors — with positioning gap analysis, review mining, and market_insights-calibrated saturation scoring. Feeds into idea-scoring, cac-modeler, pricing-and-wtp, and tam-sam-som-builder.
What it loads into context
Frontmatter
66 tokensAlways available to the agent
SKILL.md
4,164 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Input
- Competitor Categories
- Process
- Output
- Notes
Files
SKILL.mdcore17,648 bytesSKILL.mdcore17,648 bytesSKILL.mdcore17,648 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubdecision-memo
When your agent uses it
Writes a concise, human-readable decision brief summarizing the full validation analysis — including score, verdict, RAT experiment, pre-mortem, and tier-appropriate next actions. The document a founder actually acts on.
What it loads into context
Frontmatter
51 tokensAlways available to the agent
SKILL.md
2,903 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Input
- Writing Principles
- Formatting Constraints
- Process
- Output
- Notes
Scripts executed separately
../../tests/validate_memory.py../../tests/validate_memory.py
Files
SKILL.mdcore12,055 bytesSKILL.mdcore12,055 bytesSKILL.mdcore12,055 bytes../../tests/validate_memory.pyruns34,186 bytes../../tests/validate_memory.pyruns34,186 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubdesire-evaluator
When your agent uses it
Scores the strength of core human desire motivations (survival, status, belonging, control, curiosity) for a given app idea to predict user pull and retention potential.
What it loads into context
Frontmatter
41 tokensAlways available to the agent
SKILL.md
1,528 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Input
- Desire Dimensions
- Scoring Rubric
- Process
- Output
- Notes
Files
SKILL.mdcore6,231 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubdistribution-analysis
When your agent uses it
Evaluates organic reach potential, paid feasibility, platform distribution advantages, creator economy fit, and founder edge for a B2C app idea. Includes viral coefficient estimation, ASO scoring rubric, and tier-adjusted verdicts.
What it loads into context
Frontmatter
52 tokensAlways available to the agent
SKILL.md
4,316 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Input
- Distribution Dimensions
- Process
- Output
- Notes
Files
SKILL.mdcore18,141 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubidea-scoring
When your agent uses it
Aggregates all dimension scores into a final idea score (0–100) and issues a verdict. Implements a multiplicative-floor algorithm with Riskiest Assumption Test (RAT). The final output of every validation workflow.
What it loads into context
Frontmatter
53 tokensAlways available to the agent
SKILL.md
5,402 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Input
- Scoring Dimensions
- Dimension Score Mapping
- Scoring Algorithm
- Scoring Stages
- Riskiest Assumption Test (RAT)
- Process (step by step)
- Output
- Notes
Scripts executed separately
../../tests/validate_memory.py../../tests/validate_memory.py
Files
SKILL.mdcore20,649 bytesSKILL.mdcore20,649 bytesSKILL.mdcore20,649 bytesSKILL.mdcore20,649 bytesSKILL.mdcore20,649 bytesSKILL.mdcore20,649 bytesSKILL.mdcore20,649 bytesSKILL.mdcore20,649 bytesSKILL.mdcore20,649 bytes../../tests/validate_memory.pyruns34,186 bytes../../tests/validate_memory.pyruns34,186 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubpivot-engine
When your agent uses it
Generates structured pivot options for a scored idea based on weak dimensions, market_insights signals, and founder constraints. Includes scoring simulation, minimum viable pivot criteria, effort estimation, and indie buildability filtering.
What it loads into context
Frontmatter
47 tokensAlways available to the agent
SKILL.md
5,388 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Input
- Pivot Types
- Micro-pivot Mode
- Slug Rule
- Minimum Viable Pivot Criteria
- Process
- Output
- Notes
Files
SKILL.mdcore23,045 bytesSKILL.mdcore23,045 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubpricing-and-wtp
When your agent uses it
Models willingness to pay using Van Westendorp price sensitivity analysis, desire-premium multipliers, category benchmarks, and market_insights monetization signals. Recommends pricing model, freemium conversion estimate, and annual/monthly strategy.
What it loads into context
Frontmatter
57 tokensAlways available to the agent
SKILL.md
5,108 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Input
- Pricing Models
- Process
- Output
- Notes
Files
SKILL.mdcore20,332 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubretention-predictor
When your agent uses it
Predicts retention potential by evaluating usage frequency, habit formation mechanics, and churn risk factors for a B2C app idea.
What it loads into context
Frontmatter
34 tokensAlways available to the agent
SKILL.md
2,077 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Input
- Evaluation Factors
- Benchmarks
- Churn Risk Rubric
- Retention Verdict
- Process
- Output
- Notes
Files
SKILL.mdcore7,578 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubtam-sam-som-builder
When your agent uses it
Estimates TAM, SAM, and realistic SOM for a B2C app idea using triangulated bottom-up methodology anchored to market_insights trend data, competitor revenue proxies, and community size signals. Includes indie capture rate benchmarks and growth-rate adjustments by trend velocity.
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
4,177 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Input
- Methodology
- SAM Filtering
- SOM Estimation
- Growth Rate Adjustment (from market_insights)
- Reality Check Layer
- Market Size Verdict Thresholds
- Process
- Output
- Notes
Files
SKILL.mdcore16,386 bytesSKILL.mdcore16,386 bytesSKILL.mdcore16,386 bytesSKILL.mdcore16,386 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubtrend-analysis
When your agent uses it
Analyzes market trends across platforms (TikTok, Reddit, App Store, Google Trends) for a given topic or category. Writes a new file to memory/market_insights/.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
1,791 tokensWhen the skill is activated
Reference documents
11,214 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Input
- User Interaction
- Prompts Directory
- Platform Coverage
- Process
- Output
Scripts executed separately
../../tests/validate_memory.py../../tests/validate_memory.py
Files
SKILL.mdcore7,631 bytesSKILL.mdcore7,631 bytesSKILL.mdcore7,631 bytesprompts/apps.mddoc10,430 bytesprompts/b2b-communities.mddoc9,052 bytesprompts/reddit.mddoc9,081 bytesprompts/tiktok.mddoc6,290 bytesprompts/web-search.mddoc10,459 bytesprompts/x-twitter.mddoc7,300 bytes../../tests/validate_memory.pyruns34,186 bytes../../tests/validate_memory.pyruns34,186 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubtrend-to-product-mapper
When your agent uses it
Maps viral social content and trending topics to concrete app opportunities by extracting the underlying problem and validating monetization fit.
What it loads into context
Frontmatter
32 tokensAlways available to the agent
SKILL.md
1,870 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- User Interaction
- Input
- Pipeline
- Process
- Output
- Notes
Files
SKILL.mdcore8,131 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubuser-background-interviewer
When your agent uses it
Conducts a deep background interview to understand what types of app ideas this specific user is most likely to succeed with based on their domain knowledge, networks, and skills.
What it loads into context
Frontmatter
42 tokensAlways available to the agent
SKILL.md
5,587 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Input
- First-Run Onboarding
- Process
- Output
- Notes
Files
SKILL.mdcore24,811 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubuser-segmentation-profiler
When your agent uses it
Classifies the user into an ICP tier (beginner/builder/growth) based on experience, constraints, and goals. Run once per user session before any workflow.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
974 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Input
- Process
- Output
- Notes
Files
SKILL.mdcore4,194 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubweakness-detection
When your agent uses it
Analyzes idea-scoring output to identify the weakest dimensions, root causes of low scores, and probable failure modes if the idea were pursued as-is.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
1,238 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Input
- Weakness Classification
- Weak Threshold
- Severity Matrix
- Failure Mode Library
- Process
- Output
- Notes
Files
SKILL.mdcore5,254 bytesSKILL.mdcore5,254 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubSkills included
- cac-modeler
- competitor-mapper
- decision-memo
- desire-evaluator
- distribution-analysis
- idea-scoring
- pivot-engine
- pricing-and-wtp
- retention-predictor
- tam-sam-som-builder
- trend-analysis
- trend-to-product-mapper
- user-background-interviewer
- user-segmentation-profiler
- weakness-detection
Repository facts
- License
- No license detected
- Created
- Sep 6, 2026
- Last pushed
- Sep 6, 2026
- Forks
- 1
- Open issues
- 0
- Project activity
- Slowing
Before you install
Local scriptsAutomated signals, not a guarantee
Checked Nov 7, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 22 notes
skills/competitor-mapper/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/competitor-mapper/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/decision-memo/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/decision-memo/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtests/validate_memory.py:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/idea-scoring/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/idea-scoring/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/idea-scoring/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/idea-scoring/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/idea-scoring/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/idea-scoring/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/idea-scoring/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/idea-scoring/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtests/validate_memory.py:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/pivot-engine/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/tam-sam-som-builder/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/tam-sam-som-builder/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/tam-sam-som-builder/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/trend-analysis/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/trend-analysis/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- No dangerous shell commands
- 17 network referencesin 6 files: trend-analysis/prompts/apps.md:171 trend-analysis/prompts/b2b-communities.md:153 trend-analysis/prompts/reddit.md:151 and 3 more
- No hidden or obfuscated text
- No instruction overrides
- 6 executable scriptsin 1 file: tests/validate_memory.py:1
- No access to secrets
- No requests to vote in Hot
Show all 23 signals by file
skills/trend-analysis/prompts/apps.md
skills/trend-analysis/prompts/b2b-communities.md
skills/trend-analysis/prompts/reddit.md
skills/trend-analysis/prompts/tiktok.md
skills/trend-analysis/prompts/web-search.md
skills/trend-analysis/prompts/x-twitter.md
tests/validate_memory.py
- Executable scriptline 1
#!/usr/bin/env python3 - Executable scriptline 1
Executable file; content unavailable - Executable scriptline 1
#!/usr/bin/env python3 - Executable scriptline 1
Executable file; content unavailable - Executable scriptline 1
#!/usr/bin/env python3 - Executable scriptline 1
Executable file; content unavailable
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Signal confidence: 23 facts
- Network access in code of documentationtrend-analysis/prompts/apps.md:171Low confidence
- Network access in code of documentationtrend-analysis/prompts/apps.md:172Low confidence
- Network access in code of documentationtrend-analysis/prompts/apps.md:173Low confidence
- Network access in code of documentationtrend-analysis/prompts/b2b-communities.md:153Low confidence
- Network access in code of documentationtrend-analysis/prompts/b2b-communities.md:154Low confidence
- Network access in code of documentationtrend-analysis/prompts/b2b-communities.md:155Low confidence
- Network access in code of documentationtrend-analysis/prompts/reddit.md:151Low confidence
- Network access in code of documentationtrend-analysis/prompts/reddit.md:152Low confidence
- Network access in code of documentationtrend-analysis/prompts/reddit.md:153Low confidence
- Network access in code of documentationtrend-analysis/prompts/tiktok.md:131Low confidence
- Network access in code of documentationtrend-analysis/prompts/tiktok.md:132Low confidence
- Network access in code of documentationtrend-analysis/prompts/tiktok.md:133Low confidence
- Network access in code of documentationtrend-analysis/prompts/web-search.md:156Low confidence
- Network access in code of documentationtrend-analysis/prompts/web-search.md:157Low confidence
- Network access in code of documentationtrend-analysis/prompts/web-search.md:158Low confidence
- Network access in code of documentationtrend-analysis/prompts/x-twitter.md:150Low confidence
- Network access in code of documentationtrend-analysis/prompts/x-twitter.md:151Low confidence
- Executable script in code of a testtests/validate_memory.py:1Low confidence
- Executable script in code of a testtests/validate_memory.py:1Low confidence
- Executable script in code of a testtests/validate_memory.py:1Low confidence
- Executable script in code of a testtests/validate_memory.py:1Low confidence
- Executable script in code of a testtests/validate_memory.py:1Low confidence
- Executable script in code of a testtests/validate_memory.py:1Low confidence
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Path .claude/hooks/session_start.py | .claude/skills/<skill-name>/ |
| Codex | Native | Manifest AGENTS.md | .agents/skills/<skill-name>/ |
| Cursor | Native | Path .cursor/rules/cac-modeler.mdc | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md skills/cac-modeler/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md skills/cac-modeler/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md skills/cac-modeler/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
