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Fangmanle

Self-hosted AI-native hotel PMS for boutique hotels

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This is 1 of 146 launches in real estate and property management software — see how it stacks up on momentum and crowding →

45 other launches read as similar to this one →

Details

External ID
1274644
Source
PH
Company
—
Product
Fangmanle
Website domain
producthunt.com
Launched
Oct. 10, 2026
Cohort
—
Upvotes
2
Upvotes percentile
0.76
Tags
Productivity, Open Source, Artificial Intelligence, GitHub

Description

Boutique hotels don’t need another multi-property cloud PMS. They need one property’s rooms, rates, night audit, and guest chat to stop living in separate tools. Fangmanle is a self-hosted hotel PMS for independents: front desk, rooms, finance, and guests in one place. AI helps where it matters—ask about your numbers, explain a rate, draft a shift handover—and you can turn it off without breaking daily ops. Try the live demo (sample hotel data). Open source if you want to run it yourself.

Enrichment

Niche
real estate and property management software
Vertical
Travel & hospitality
Function
Vertical SaaS
Audience
B2B
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
hotel property management system for boutique hotels
Manually corrected
False

Could you build this?

Partial A basic self-hosted CRUD app for hotel rooms and rates is manageable, but a reliable property management system (PMS) requires complex night-audit state machines, strict financial double-entry accounting, and channel manager integrations (OTAs).

What it would actually take: A production hotel PMS requires a rock-solid transactional database (PostgreSQL with strict serialization) to manage room inventory locks, transactional ledger accounting for billing/folios, and certified two-way synchronization with OTA channel managers (Booking.com, Expedia via standard hospitality APIs like OTA/HTNG). Hospitality domain expertise is required to accurately model night audits, tax handling, and folio management.

Competitors

Other products that read as similar to this one — 45 launches clear the similarity bar, closest 8 shown.

Attention rank: #9 of 46 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 340 days after the earliest competitor.

Other launches for this product