What if mentors shared in long-term success?
Our mentoring work explored matching, learning history, recommendations for specific jobs, and hiring economics that could return value to mentors and their communities.
Mentoring is part of our history. MakeLocal is the current product priority. This archive is not a recruitment or active mentoring offer.
The earlier design
The idea connected learning relationships with later outcomes. Mentorship history could inform a recommendation, and successful hiring could fund the community and people who helped.
The design raised questions about attribution, privacy, fair evaluation, and distinguishing real help from coincidence. Historical specifications establish what was explored; they do not prove that the proposed incentives worked.
For mentors
Mentors would explain their expertise, experience, capacity, and learning offer. The incentive question was whether benefiting from a mentee’s later success could encourage useful support over time.
For mentees
Matching and learning history aimed to make relevant support easier to find. A persistent record also raised questions about correction, consent, and avoiding permanent labels based on an early learning experience.
Recommendations and hiring
Recommendations were intended for specific openings, with outcomes informing the recommender’s future credibility. The difficult questions included whether a failed interview fairly reflects the recommender’s contribution and whether incentives would favor candidates already likely to succeed.
What stays relevant
Useful support can have effects long after an interaction. Keeping that contribution visible is worth investigating. It does not justify a global score, automatic entitlement, or an unqualified hiring guarantee.
Explore current projects · Read the research questions
Original design records
The original pages are preserved with historical notices. Their claims and terminology belong to that earlier period.