BrokenLore: FOLLOW
Serafini Productions · 2026-05-31
SteamPlayStation Store
Modes: Single player · Perspectives: First person
Releases: Jun 01, 2026 (PC (Microsoft Windows)), Jun 01, 2026 (PlayStation 5), Jun 01, 2026 (Xbox Series X|S)
BrokenLore: FOLLOW is a psychological first-person horror game that immerses players in the haunting narrative of Anne, as she grapples with issues of self-acceptance, bullying, and worthlessness while encountering metaphorical surreal creatures that heighten the terror of her journey.
BrokenLore: FOLLOW is a $14.99 Action and Adventure game released in 2026, with Very Positive sentiment (81% of 168 reviews).— census verdict as of 2026-09-20
Health check
- · 27 reviews in the last 8 weeks (~3/week).
- · Review velocity down 80% vs the prior 8 weeks.
- · Current weekly pace is under 5% of the all-time peak week (115 reviews).
- · Top 31% of 27,908 Action games in the census by review count.
Health tier since 2026-09-01
Review-multiple estimate from 171 total reviews — how this is computed.
All-time low: $12.99 at Epic Game Store (2026-06-01)via IsThereAnyDeal
12-month high $12.99 · on sale 0 of 1 observed days (census price snapshots)
Review momentum
Completion
- · 85.7% of players earned Christmas Nightmare
- · 48.5% of players earned Little Obsession
- · 10.1% of players earned Full Archive
Global achievement rates from Steam.
Details
14 supported languages: English, Japanese, French, Italian, German, Portuguese - Brazil, Simplified Chinese, Traditional Chinese, Korean, Turkish, Indonesian, Polish…
Census log
- 2026-06-01First review activity on record (week of 2026-06-01).
- 2026-06-01Biggest review week on record: 115 reviews (week of 2026-06-01).
Computed from census-recorded observations only — dates are observation dates.
Recent updates
- 2026-06-15The Cast and Creative Team Behind FOLLOW
- 2026-05-20BrokenLore: FOLLOW — OUT NOW
Players also track
Don't Knock TwiceCall of Cthulhu®DARQ: Complete EditionInflictionDream AloneHello Neighbor: Hide and SeekApsulov: End of GodsTwin Mirror
Similarity via IGDB.