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CatalystLab: AI-Powered Research Brainstorming and Parallel Literature Discovery Platform

01 Apr 01:56
@myself-aas myself-aas
v1.3.7
e1e97bf
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CatalystLab v1.3.7 Release Documentation

Repository Information

Release Title

CatalystLab: AI-Powered Research Brainstorming and Parallel Literature Discovery Platform

Release Description

Overview

CatalystLab is a comprehensive Software-as-a-Service (SaaS) platform designed to accelerate academic research through artificial intelligence–driven ideation, literature discovery, and research planning. This release (v1.3.7) represents a production‑ready implementation of an integrated research support ecosystem that does two things simultaneously:

  • Think: 20 structured AI brainstorming instruments help researchers pressure‑test ideas, find contradictions, explore assumptions, generate hypotheses, and discover research gaps.
  • Discover: Every instrument run automatically extracts research concepts and searches nine free academic databases in parallel, surfacing relevant literature without extra effort.

“Nothing like this exists in any research tool I’ve used.”

Technical Architecture

  • Frontend Framework: Next.js 14 (App Router) with TypeScript
  • AI Integration: Google Gemini 2.5 Flash API
  • Authentication: Firebase Authentication (Google OAuth, GitHub OAuth, email magic links)
  • Database: Cloud Firestore
  • Hosting: Firebase App Hosting / Vercel
  • Academic API Coverage: 250M+ scholarly articles across nine integrated databases

Core Features

1. 20 Research Instruments (Three Thinking Zones)

The platform provides specialised research support instruments across three cognitive zones:

Zone A: Ideas

  • Thought Collider: Crash two ideas to find the breakthrough at the intersection.
  • Research Multiverse: Flip assumptions; explore parallel hypothesis universes.
  • Concept Alchemy: Combine research concepts to discover unexpected reactions.
  • The Oracle: Identifies the ten most important unanswered questions in your field.
  • Socratic Engine: An AI that only asks questions; you find the answer.
  • Constraints Game: Solve within radical limits – creativity loves constraints.
  • Dream Board: Pin fragments; AI finds the emerging pattern.
  • Thought Experiment: Build a hypothetical and see where it leads.

Zone B: Analysis

  • Pressure Chamber: How strong is your idea under adversarial stress?
  • Contradiction Finder: Finds papers that disagree and gaps that need filling.
  • Assumption Archaeology: Excavates the hidden assumptions beneath your research.
  • Hypothesis Tournament: Five hypotheses enter; one survives.
  • Signal vs Noise: Determines whether a trend is real or hype before you commit.
  • Persona Swap: See your research through radically different eyes.

Zone C: Discovery

  • Temporal Telescope: See past, present, and three possible futures of your field.
  • Mind Mesh: Your subconscious knowledge network, made visible.
  • Analogical Lab: Your problem is already solved – in a different field.
  • Frontier Map: Satellite view of the edge of your field’s knowledge.
  • Living Review: A literature review that updates itself automatically.
  • Emergence Engine: Submit one observation; watch a breakthrough emerge.

2. Parallel Literature Discovery (9 Academic Sources)

Every instrument run triggers a parallel fan‑out search across nine free academic databases, with AI‑powered keyword extraction to build optimal search queries.

  • Semantic Scholar - 200M+ papers, all disciplines (no API key required)
  • OpenAlex - 250M+ works, fully open (no API key required)
  • arXiv - 2.3M+ preprints (CS, Physics, Bio, Math, …) (no API key required)
  • PubMed - 36M+ biomedical citations (no API key required)
  • CORE - World’s largest open access collection (free key optional)
  • Crossref - 150M+ works, strong on DOIs (no API key required)
  • Europe PMC - 42M+ abstracts, 9M+ full text (no API key required)
  • DOAJ - 9M+ fully open access articles (no API key required)
  • Unpaywall - PDF enrichment pass on DOIs (no API key required)

Results are deduplicated, ranked, and presented alongside the AI‑generated output.

3. User Experience & Interface

  • Responsive Design: Mobile‑optimised interface with device‑specific UX refinements; dark mode only for calm, focused research.
  • Navigation: Command palette (⌘K) to navigate anywhere instantly; three‑panel instrument layout (input · output · literature) for side‑by‑side comparison.
  • Session Management: All instrument runs are saved to Firestore; users can revisit and export results.
  • Export Formats: 14 citation export formats (BibTeX, APA, MLA, IEEE, RIS, and more).
  • Privacy Compliance: GDPR‑aligned privacy policy and data handling.

4. Pricing

Completely FREE. No credit card required.

Implementation Details

Technology Stack

Frontend:
- Next.js 14.2.x (App Router)
- React 18.3.x
- TypeScript 5.x
- Tailwind CSS 3.4.x
- Lucide React (icons)
- Zustand (state management)

Backend Services:
- Firebase Authentication
- Cloud Firestore (NoSQL database)
- Firebase App Hosting / Vercel

AI/ML Integration:
- Google Gemini 2.5 Flash
- Custom prompt engineering for research contexts
- Context‑aware response generation

Infrastructure

  • Domain: catalystlab.tech (custom domain with SSL)
  • Hosting: Firebase App Hosting (primary) / Vercel (preview)
  • Authentication Providers: Google, GitHub, email
  • Database: Distributed Firestore architecture (rules and indexes deployed via firebase.json)
  • CDN: Firebase Hosting CDN / Vercel Edge Network

Project Structure (Selected)

CatalystLab/
├── app/
│   ├── (main)/               # Authenticated app shell
│   │   ├── dashboard/        # Home dashboard
│   │   ├── instruments/      # Instrument list + [slug] detail
│   │   ├── reports/          # Saved sessions
│   │   └── ...
│   ├── login/                # Sign in page
│   ├── pricing/              # Pricing page
│   └── ...
├── components/               # Sidebar, TopBar, BottomNav, CommandPalette, etc.
├── lib/
│   ├── firebase.ts           # Firebase app initialisation
│   ├── gemini.ts             # Gemini 2.5 Flash client
│   ├── trialSystem.ts        # Free tier rate limiting
│   ├── export.ts             # 14 citation export formats
│   └── apis/                 # Clients for the nine academic databases
├── middleware.ts             # Auth route protection
└── ...

Scientific Rationale & Impact

Addressing Research Workflow Challenges

CatalystLab addresses critical inefficiencies in academic research workflows:

  1. Information Overload – With over 2.5 million scholarly articles published annually, researchers face significant challenges in literature discovery and relevance filtering. CatalystLab’s AI‑powered search and synthesis capabilities reduce time‑to‑insight.
  2. Methodological Support Gap – Early‑career researchers often lack access to experienced mentorship for research design. The platform’s methodological advisors (e.g., Hypothesis Tournament, Pressure Chamber) provide evidence‑based guidance.
  3. Interdisciplinary Barriers – Cross‑domain research requires familiarity with multiple literature bodies. CatalystLab’s interdisciplinary connector (Analogical Lab, Frontier Map) identifies relevant work across field boundaries.
  4. Resource Accessibility – Integration with open‑access databases (CORE, DOAJ, arXiv, Unpaywall) ensures equitable access to scholarly literature regardless of institutional affiliation.

Target User Base

  • Graduate students (Master’s, PhD) in STEM and social sciences
  • Early‑career researchers and postdoctoral fellows
  • Independent researchers without institutional library access
  • Research groups requiring collaborative ideation tools
  • Grant writers seeking literature support for proposals

Quality Assurance & Testing

  • Comprehensive cross‑browser compatibility testing (Chrome, Firefox, Safari, Edge)
  • Mobile responsiveness validation (iOS, Android)
  • API rate limit handling and error recovery across nine sources
  • Authentication flow testing across OAuth providers
  • Free‑tier rate‑limit enforcement testing

Documentation & Support

  • Comprehensive user documentation (in‑app guides)
  • Privacy policy and terms of service (catalystlab.tech/privacy, /terms)
  • Developer documentation for API integrations (planned)
  • Community support channels (planned)

Future Development Roadmap

  • Enhanced citation management and export (BibTeX, RIS, EndNote)
  • Collaborative research workspace features (team plans)
  • Advanced bibliometric analysis tools
  • Integration with reference managers (Zotero, Mendeley)
  • API access for institutional integrations
  • Machine learning‑based research trend prediction

Citation & Attribution

When citing CatalystLab in academic work, please use:

Shuvo, Ashif A. (2026). CatalystLab: AI-Powered Research Brainstorming and
Parallel Literature Discovery Platform (Version 1.3.7) [Software].
Zenodo. https://doi.org/10.5281/zenodo.19362937

BibTeX:

@software{shuvo_catalystlab_2026,
  author = {Shuvo, Ashif Ahmed},
  title = {CatalystLab: AI-Powered Research Brainstorming and Parallel Literature Discovery Platform},
  url = {https://github.com/myself-aas/CatalystLab},
  version = {1.3.7},
  year = {2026},
  month = {04},
  publisher = {Zenodo},
  doi = {10.5281/zenodo.19362937},
  copyright = {Creative Commons Attribution 4.0 International}
}

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CatalystLab: AI-Powered Research Ideation and Literature Discovery Platform

01 Apr 00:54
@myself-aas myself-aas
v1.3.5
e1e97bf
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
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CatalystLab: AI-Powered Research Ideation and Literature Discovery Platform

CatalystLab v1.3.5 Release Documentation

Repository Information

Release Title

CatalystLab: AI-Powered Research Ideation and Literature Discovery Platform

Release Description

Overview

CatalystLab is a comprehensive Software-as-a-Service (SaaS) platform designed to accelerate academic research through artificial intelligence-driven ideation, literature discovery, and research planning. This initial stable release (v1.3.5) represents a production-ready implementation of an integrated research support ecosystem.

Technical Architecture

  • Frontend Framework: Next.js 14 with TypeScript
  • AI Integration: Google Gemini 2.5 Flash API
  • Authentication: Firebase Authentication (Google OAuth, GitHub OAuth)
  • Database: Cloud Firestore
  • Deployment: Vercel
  • Academic API Coverage: 250M+ scholarly articles across 9 integrated databases

Core Features

1. Research Instruments Suite (20 AI-Powered Tools)

The platform provides specialized research support instruments across multiple domains:

  • Ideation & Conceptualization: Research question generator, hypothesis formulator, novelty analyzer
  • Literature Discovery: Multi-database search integration, citation network analysis, gap identification
  • Methodological Support: Experimental design advisor, statistical power calculator, data collection planner
  • Writing Assistance: Abstract generator, literature review structurer, grant proposal outliner
  • Analysis Tools: Trend analyzer, interdisciplinary connector, research impact predictor

2. Academic Database Integration

Seamless access to scholarly literature through nine major academic databases:

  • PubMed / PMC (biomedical sciences)
  • arXiv (preprints: physics, mathematics, computer science)
  • Semantic Scholar (cross-disciplinary)
  • CORE (open access research)
  • OpenAlex (comprehensive bibliometric data)
  • Crossref (DOI metadata)
  • Europe PMC (life sciences)
  • DOAJ (open access journals)
  • PubMed Central (full-text biomedical articles)

3. User Experience & Interface

  • Responsive Design: Mobile-optimized interface with device-specific UX refinements
  • Custom UI Components: LogoLoader animation, interactive research dashboards
  • SEO Optimization: Comprehensive metadata implementation for discoverability
  • Privacy Compliance: GDPR-aligned privacy policy and data handling

4. Business Model & Accessibility

Freemium pricing structure designed for academic accessibility:

  • Free Tier: $0/month - Completely Free

Implementation Details

Technology Stack

Frontend:
- Next.js 14.2.x (App Router)
- React 18.3.x
- TypeScript 5.x
- Tailwind CSS 3.4.x

Backend Services:
- Firebase Authentication
- Cloud Firestore (NoSQL database)
- Firebase Hosting
- Vercel Edge Functions

AI/ML Integration:
- Google Gemini 2.5 Flash
- Custom prompt engineering for research contexts
- Context-aware response generation

Infrastructure

  • Domain: catalystlab.tech (custom domain with SSL)
  • Hosting: Vercel (serverless deployment)
  • Authentication Providers: Google, GitHub
  • Database: Distributed Firestore architecture
  • CDN: Vercel Edge Network

Scientific Rationale & Impact

Addressing Research Workflow Challenges

CatalystLab addresses critical inefficiencies in academic research workflows:

  1. Information Overload: With over 2.5 million scholarly articles published annually, researchers face significant challenges in literature discovery and relevance filtering. CatalystLab's AI-powered search and synthesis capabilities reduce time-to-insight.

  2. Methodological Support Gap: Early-career researchers often lack access to experienced mentorship for research design. The platform's methodological advisors provide evidence-based guidance for experimental planning.

  3. Interdisciplinary Barriers: Cross-domain research requires familiarity with multiple literature bodies. CatalystLab's interdisciplinary connector identifies relevant work across field boundaries.

  4. Resource Accessibility: Integration with open-access databases (CORE, DOAJ, arXiv) ensures equitable access to scholarly literature regardless of institutional affiliation.

Target User Base

  • Graduate students (Master's, PhD) in STEM and social sciences
  • Early-career researchers and postdoctoral fellows
  • Independent researchers without institutional library access
  • Research groups requiring collaborative ideation tools
  • Grant writers seeking literature support for proposals

Quality Assurance & Testing

  • Comprehensive cross-browser compatibility testing (Chrome, Firefox, Safari, Edge)
  • Mobile responsiveness validation (iOS, Android)
  • API rate limit handling and error recovery
  • Authentication flow testing across OAuth providers
  • Payment integration testing in sandbox environments

Documentation & Support

  • Comprehensive user documentation (in-app guides)
  • Privacy policy and terms of service
  • Developer documentation for API integrations
  • Community support channels (planned)

Future Development Roadmap

  • Enhanced citation management and export (BibTeX, RIS, EndNote)
  • Collaborative research workspace features
  • Advanced bibliometric analysis tools
  • Integration with reference managers (Zotero, Mendeley)
  • API access for institutional integrations
  • Machine learning-based research trend prediction

Citation & Attribution

When citing CatalystLab in academic work, please use:

Shuvo, Ashif A. (2026). CatalystLab: An AI-Powered Research Ideation and 
Literature Discovery Platform (Version 1.3.5) [Software]. 
Zenodo. https://doi.org/[ASSIGNED-DOI]

Licensing

MIT

Acknowledgments

This platform was developed to democratize access to research support tools and accelerate scientific discovery. Special acknowledgment to the open-source community and academic database providers enabling comprehensive literature access.

Technical Support & Contact

Release Assets

This release includes:

  • Source code (zip, tar.gz)
  • Production build artifacts
  • Documentation (user guides, API documentation)
  • Configuration templates
  • Deployment scripts

Installation & Deployment

Detailed installation instructions available in repository README.md

System Requirements

  • Node.js 18.x or higher
  • Modern web browser (Chrome 90+, Firefox 88+, Safari 14+, Edge 90+)
  • Internet connection for AI and database features

Known Limitations

  • AI response quality depends on Gemini API availability
  • Academic database access subject to third-party API rate limits
  • Some features require active internet connection
  • Payment processing available in supported regions only

For Academic Citation: Upon Zenodo DOI assignment, this release will be permanently archived and citable in scholarly publications.

Version Control: This release represents the first stable production version. Subsequent versions will follow semantic versioning (MAJOR.MINOR.PATCH).

Full Changelog: https://github.com/myself-aas/CatalystLab/commits/v1.3.5

Full Changelog: https://github.com/myself-aas/CatalystLab/commits/v1.3.5

Full Changelog: https://github.com/myself-aas/CatalystLab/commits/v1.3.5

Full Changelog: https://github.com/myself-aas/CatalystLab/commits/v1.3.5

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