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ivanfioravanti
chatbot-ollama
TypeScript2023–2024
ivanfioravanti / chatbot-ollama

chatbot-ollama

Chatbot Ollama is an open source chat UI for Ollama.

Communication & Social
Explore on GitHubRead Hacker News discussions
2Distinct people
2Mentions
0Explicit recommenders
1.9KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Chatbot Ollama is an open source chat UI for Ollama.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week2 dated mentions

Observed mentions: 2023-11-22 12:23:02 UTC to 2024-02-07 18:31:47 UTC. Weeks start Monday, UTC.

012023-11-20 00:00:00 UTC to 2023-11-27 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsNov 202023-11-27 00:00:00 UTC to 2023-12-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-04 00:00:00 UTC to 2023-12-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-11 00:00:00 UTC to 2023-12-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-18 00:00:00 UTC to 2023-12-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-25 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsDec 252024-01-01 00:00:00 UTC to 2024-01-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-08 00:00:00 UTC to 2024-01-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-15 00:00:00 UTC to 2024-01-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-22 00:00:00 UTC to 2024-01-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-29 00:00:00 UTC to 2024-02-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-05 00:00:00 UTC to 2024-02-12 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsFeb 5

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Nov 202023-11-20 00:00:00 UTC2023-11-27 00:00:00 UTC101
Nov 272023-11-27 00:00:00 UTC2023-12-04 00:00:00 UTC000
Dec 42023-12-04 00:00:00 UTC2023-12-11 00:00:00 UTC000
Dec 112023-12-11 00:00:00 UTC2023-12-18 00:00:00 UTC000
Dec 182023-12-18 00:00:00 UTC2023-12-25 00:00:00 UTC000
Dec 252023-12-25 00:00:00 UTC2024-01-01 00:00:00 UTC000
Jan 12024-01-01 00:00:00 UTC2024-01-08 00:00:00 UTC000
Jan 82024-01-08 00:00:00 UTC2024-01-15 00:00:00 UTC000
Jan 152024-01-15 00:00:00 UTC2024-01-22 00:00:00 UTC000
Jan 222024-01-22 00:00:00 UTC2024-01-29 00:00:00 UTC000
Jan 292024-01-29 00:00:00 UTC2024-02-05 00:00:00 UTC000
Feb 52024-02-05 00:00:00 UTC2024-02-12 00:00:00 UTC101

What Hacker News says

2 sources
nomilk·Feb 7, 2024
Got it working. Was easy to install on macOS just an .app file to download, and one line in the terminal to download the 3.8GB manifest. Took 44 minutes from making this post (35 minutes from your reply). Seems to work quite well (quite a lot faster than ChatGPT, but perhaps not as high quality, at least based on some of the leaderboards I've been perusing). I added this web ui mostly to render code chunks nicely for easy copy/paste (web UI found via the readme): https://github.com/ivanfioravanti/chatbot-ollama Getting chatgpt-like UX. Love that I can put in a system prompt so easily (if desired).
In Ask HN: If you're running an LLM locally, what are you using?

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