WeWorkBuddy

SoftwareNew

AI-topic research from source leads, with private candidates and tasks, timestamped assessments and export.

About WeWorkBuddy

WeWorkBuddy is a research workspace for people creating content about AI topics. It brings together public source leads from Hacker News, GitHub and publisher feeds so a creator can inspect where a topic came from before deciding what to investigate or publish. Its focus is organizing research material and making the evidence behind a topic choice easier to inspect.

Users can save candidates in a private workspace, create research tasks and review timestamped observations and assessments. The workflow supports looking at audience questions and reviewed answer samples as part of topic research. Missing evidence is kept separate from a supported assessment, and historical candidate topics can remain explicitly unverified. Results can be exported for use in the creator’s own research and planning process.

WeWorkBuddy covers AI as a topic. This listing does not claim that the product itself uses an AI inference model to perform the research. It is not presented as an AI writing engine, a keyword-volume service or a tool that guarantees audience growth. A timestamped source lead is a starting point to investigate, not proof that a conclusion or opportunity score is correct.

The Explorer plan is free and currently includes limited monthly topic, task and assessment allowances. The Creator pricing shown on the official site is currently in test mode: no real charges are made and production subscriptions are not open. Users should check the current plan page rather than assume the displayed paid tier is available as a live subscription.

This product introduction is submitted by an authorized representative of the product owner. It describes the source-research and organization workflow without claiming independent review experience, founder identity, financing, revenue, user numbers or a verified launch milestone.

What problem it solves

Organize traceable source leads and research tasks before choosing an AI topic to investigate or publish.

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