Rebecca Mbaya

Substacknewsletter · by Rebecca Mbaya · English

Breaking down walls and Building Bridges...Knowledge for All.

Audience
Not shown publicly
We show a dash rather than guess
Publishing
Every two weeks
5 posts indexed in the last 90 days
Last post
Oct 23, 2026
7 days ago
Likely audience
Agricultural extension officers
Inferred from post content

Rebecca Mbaya is a Substack newsletter by Rebecca Mbaya covering Agricultural technology, AI in agriculture and Digital platforms. NewsletterFIT indexed 5 posts from it in the last 90 days, most recently on Oct 23, 2026.

Topics

Recent posts

  • Frank Muzhanye…
  • Following the…
  • Dennis Tanui…
  • AI &…
  • Obreal on…

Sponsors detected

No sponsored posts detected in the last 180 days of indexed posts.

Detected automatically from posts marked as sponsored. Detection can miss or misread placements.

See the full picture on Rebecca Mbaya

Subscriber momentum over time, every detected sponsor with the source post, companies and people it mentions, guests, and an alert when any of it changes.

Start 7-day Pro trial

Similar newsletters

Ranked by how many topics they share with Rebecca Mbaya.

  • De la sat4K subscribers

    SubstackEvery two weeks · last post 20 days ago

    Likely audience: hikers and outdoor enthusiasts

    1 shared topic

  • Future of India1K subscribers

    SubstackEvery two weeks · last post 8 days ago

    Likely audience: career changers

    1 shared topic

  • Lead For America1K subscribers

    SubstackMonthly or less · last post 39 days ago

    Likely audience: Community organizers

    1 shared topic

  • SubstackWeekly · last post 19 days ago

    Likely audience: African tech founders

    1 shared topic

  • LinkedInEvery two weeks · last post 20 days ago

    Likely audience: Climate tech investors and VCs

    1 shared topic

  • SubstackMonthly or less · last post 18 days ago

    Likely audience: urban planners

    1 shared topic

Compiled from public pages · refreshed Oct 23, 2026 · How NewsletterFIT collects and labels data