Project roadmap

Base2026 Roadmap

A public roadmap for turning short-form expert video into an attributed, searchable research layer.

Product roadmap

A public sequence for turning video knowledge into a trusted research layer.

Trust first, then ingestion, AI processing, creator controls, analytics, and monetization.

Now Public Trust Foundation
Next Content Ingestion Pipeline
Later AI Knowledge Layer, Creator Controls, Analytics, Monetization
Click a phase to inspect purpose, status, and milestone sequence.

Sequence

Roadmap flow

Selected phase

Phase detail

Milestones

Phase density

Funding logic

What support unlocks

Execution order

Now / Next / Later

Roadmap logic

What this roadmap proves

This roadmap is not a list of promised features. It is a public development sequence: first transparency and governance, then ingestion, AI processing, creator controls, analytics, and monetization. Each layer makes the next one safer and more useful.

Positioning

Base2026 is an open, local-first knowledge base project that turns public short-form expert videos into attributed, searchable, readable knowledge records.

The project started as a personal SEO/SMM research notebook and is evolving into a public, creator-attributed discovery layer for marketers, researchers, and builders.

Base2026 is not a social network clone, not a video re-hosting platform, and not a mass transcript dump. The goal is to build a reliable searchable layer over public short-form expert knowledge, with attribution, provenance, opt-out, and correction workflows.

Why this exists

Short-form platforms contain practical knowledge: marketing tactics, SEO observations, platform updates, creator experiments, sales advice, product positioning, and operational lessons. The problem is that this knowledge is difficult to search, compare, cite, and revisit.

Base2026 turns that stream of public spoken knowledge into structured source records, searchable passages, topic pages, and public discovery paths.

Current status

Live

  • Public VPS deployment.
  • Searchable knowledge base interface.
  • Initial database of public short-form expert content.
  • Creator/source attribution model.
  • Creator, source, topic, and comparison pages.
  • Public roadmap, project story, privacy, source/content policy, support, methodology, and creator correction/removal pages.
  • Excerpt-first public source payload; full third-party transcripts are not shipped by default.

Current limitations

  • Transcription is still partly local and experimental.
  • TikTok and Instagram extraction are unstable by nature.
  • Small VPS is not suitable for heavy ASR/transcription workloads.
  • AI-powered answer generation is not yet a public feature.
  • Creator claim workflow and public change log are planned.

Development sequence

Phase 1 - Public Trust Foundation

Status: Live

Purpose: Make the project understandable and accountable before scaling.

Before scaling the database, we publish the rules: what the project is, how content is sourced, how privacy is handled, and how creators can request corrections or opt out.

Milestones

  • Public VPS deployment.
  • Searchable knowledge base interface.
  • Initial database and attribution model.
  • Public roadmap live.
  • Project story and mission published.
  • Privacy policy published.
  • Source and content policy published.
  • Creator correction/removal page published.

Phase 2 - Content Ingestion Pipeline

Status: In progress

Purpose: Turn raw public materials into structured, searchable knowledge entries.

Milestones

  • Local transcription pipeline.
  • Data cleanup and review workflow.
  • Backups.
  • Content submission / intake workflow.
  • Source metadata model.
  • Media/audio/video ingestion logic.
  • Transcription workflow.
  • Summary and entity extraction.
  • Moderation/review queue.

Phase 3 - AI Knowledge Layer

Status: Next

Purpose: Convert stored materials into usable answers, summaries, relationships, and discovery paths.

Milestones

  • AI-generated summaries.
  • Entity and topic clustering.
  • Search and filtering.
  • Source-backed answer blocks.
  • Confidence / verification labels.
  • Internal linking between related entries.

Phase 4 - Creator & Rights Controls

Status: Planned

Purpose: Give creators and source owners a clear way to correct, update, remove, or claim materials.

Milestones

  • Creator claim workflow.
  • Creator correction/removal page.
  • Automated request processing workflow.
  • Public change log.
  • Source dispute review process.

Phase 5 - Analytics & Public Signals

Status: Planned

Purpose: Show what is growing, what is being used, and where the platform has traction.

Milestones

  • Public usage counters.
  • Most viewed knowledge entries.
  • Source coverage metrics.
  • Content growth chart.
  • Search demand signals.

Phase 6 - Monetization Layer

Status: Research

Purpose: Turn the platform into a sustainable product without compromising trust.

Milestones

  • Sponsorship / supporter model.
  • Premium research views.
  • API / data access model.
  • Partner pages.
  • Public revenue rules.
  • Transparent commercial policy.

Execution order

Now

  • Public Trust Foundation.
  • Public VPS deployment.
  • Searchable knowledge base interface.
  • Public roadmap live.
  • Project story and mission published.
  • Privacy policy published.
  • Source and content policy published.
  • Creator correction/removal page published.

Next

  • Content Ingestion Pipeline.
  • Local transcription pipeline.
  • Source metadata model.
  • Transcription workflow.
  • Moderation/review queue.

Later

  • AI Knowledge Layer.
  • Creator & Rights Controls.
  • Analytics & Public Signals.
  • Monetization Layer.

What this roadmap proves

This roadmap is not a list of promised features. It is a public development sequence: first transparency and governance, then ingestion, AI processing, creator controls, analytics, and monetization. Each layer makes the next one safer and more useful.