FAQ

ReactorOS is alumni intelligence software for universities and entrepreneurship programmes. It maps every person a programme has touched — students, alumni, founders and mentors — into a single searchable network, where every connection keeps the reason it exists and every fact keeps the source it came from. It is built and published by Reactor School.

ReactorOS is for university entrepreneurship centres, incubators and programme delivery teams who have run cohorts for years and hold the results in scattered spreadsheets. It suits teams who need to find the right alumnus or mentor on demand, and who have to report programme impact to funders or leadership with evidence behind each figure.

You bring cohort spreadsheets into one workspace. Columns are mapped once, duplicate people are resolved across separate intakes so one person becomes one record, and every record retains the file it came from. Nothing is invented to fill a gap — records that need a human look are flagged rather than guessed.

Discovery runs search public professional profiles and record what they find as candidates. Verified role changes then flow into the network briefing with dated evidence, so the graph reflects where alumni actually are now rather than where they were when they graduated. Every signal keeps a link back to its source.

No. A discovery run records candidates without pulling a full profile, and nothing is retrieved in full until someone on your team promotes it. Candidates move through five states — discovered, shortlisted, needs review, hydrated, then linked to the alumni record — and nothing passes the review step on its own. Profiles are never auto-merged into a record.

You set a hard budget before a discovery run starts, and the limit is enforced in the database rather than in the form, so it holds regardless of how the run is triggered. The review queue shows candidate states, the budget and the cost per run while the work is in progress.

ReactorOS supports a do-not-scrape suppression list keyed to the LinkedIn member id, so a person stays suppressed even if their name or profile URL changes. When someone opts out, the alumni record is kept and the enriched source is dropped.

Every figure links back to the underlying records, so any number in a report can be opened and traced to the evidence behind it. Where evidence is thin, ReactorOS says so instead of smoothing it over: months with no recorded evidence stay empty and no activity is interpolated. Priority scores can be opened up and explained rather than taken on trust.

ReactorOS runs programmes on the same records as the alumni network. It covers cohort design with milestones, leads and status, tracking for the ventures that emerge, pre- and post-programme surveys using comparable instruments, and impact reports with deltas and progression analysis. Because activity and outcomes sit on one record, programme delivery and alumni reporting stop living in separate systems.

ReactorOS is not sold self-serve and has no public price list; pricing is quoted per institution based on the size of your alumni base and the programmes you run. Request a demo and the ReactorOS team will scope it with you.

Bring one cohort spreadsheet to a 30-minute walkthrough. The ReactorOS team runs it against your own data and shows you the network inside it — including the records ReactorOS cannot verify. No slides.