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Don't starve watching tv 3

Don't starve watching tv 3

A Roblox experience owned by Unstarved.

HorrorENFNAFhorrorsimulation

Description (written by the developer; not a statement by this register)

THIS GAME IS NOT FINISHED AND HAVE SOME BUGS SO IF YOU FIND ONE CONTACT ME Your job is to work at the office and to be night guard at Taco's Tacos Restaurant. You haven't slept that much in recent days and you've became insane and you think that food is coming after you. To not be bored at work, you got a TV and some snacks too eat while watching the security cams. You are so poor that you live in a tent and work extra after the night shift. Recommended to play on a computer with High Graphics and headphones for the best experience If you don't know how to play, In the computer is a txt file with everything you have to know Tags: FNAF, fnaf, Five nights at Freddy's, fan game, eating, Don't starve watching tv

Last updated by the developer 5 Jul 2025, 17:50 UTC.

0
playing (measured 16 Aug 2026, 08:05 UTC)
3,064
lifetime visits
85%
liked (11 👍 / 2 👎)
46
favourites (15.0 per 1k visits)
10 July 2023
created (per Roblox)

Play on Roblox →

Live players over time

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
16 Aug 2026, 08:050first reading

Concurrent players at each of our measurements (insert-on-change).

Badge funnel

Welcome · welcome1,538 · 0.00% win
Night 1 · progression30 · 0.00% win
Cleaning · other6 · 0.00% win
Night 2 · progression6 · 0.00% win
Night 3 · progression5 · 0.00% win
Night 44 · 0.00% win
You Donated3 · 0.00% win
Night 52 · 0.00% win
Bonus Night2 · 0.00% win
Really Thirsty1 · 0.00% win
Really Hungry1 · 0.00% win
Custom night1 · 0.00% win

How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.