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wearesulie
sulie
Python2024–2024
wearesulie / sulie

sulie

Access to Sulie foundation models for time-series forecasting 📈

2Distinct people
2Mentions
0Explicit recommenders
92GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Access to Sulie foundation models for time-series forecasting 📈

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, 3:56:07 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 hour2 dated mentions

Observed mentions: 2024-11-11 09:26:00 UTC to 2024-11-12 15:41:24 UTC.

012024-11-11 09:00:00 UTC to 2024-11-11 10:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsNov 11, 09:002024-11-11 10:00:00 UTC to 2024-11-11 11:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-11 11:00:00 UTC to 2024-11-11 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-11 12:00:00 UTC to 2024-11-11 13:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-11 13:00:00 UTC to 2024-11-11 14:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-11 14:00:00 UTC to 2024-11-11 15:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-11 15:00:00 UTC to 2024-11-11 16:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-11 16:00:00 UTC to 2024-11-11 17:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-11 17:00:00 UTC to 2024-11-11 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-11 18:00:00 UTC to 2024-11-11 19:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-11 19:00:00 UTC to 2024-11-11 20:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-11 20:00:00 UTC to 2024-11-11 21:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-11 21:00:00 UTC to 2024-11-11 22:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-11 22:00:00 UTC to 2024-11-11 23:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-11 23:00:00 UTC to 2024-11-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-12 00:00:00 UTC to 2024-11-12 01:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsNov 12, 00:002024-11-12 01:00:00 UTC to 2024-11-12 02:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-12 02:00:00 UTC to 2024-11-12 03:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-12 03:00:00 UTC to 2024-11-12 04:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-12 04:00:00 UTC to 2024-11-12 05:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-12 05:00:00 UTC to 2024-11-12 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-12 06:00:00 UTC to 2024-11-12 07:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-12 07:00:00 UTC to 2024-11-12 08:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-12 08:00:00 UTC to 2024-11-12 09:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-12 09:00:00 UTC to 2024-11-12 10:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-12 10:00:00 UTC to 2024-11-12 11:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-12 11:00:00 UTC to 2024-11-12 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-12 12:00:00 UTC to 2024-11-12 13:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-12 13:00:00 UTC to 2024-11-12 14:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-12 14:00:00 UTC to 2024-11-12 15:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-12 15:00:00 UTC to 2024-11-12 16:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsNov 12, 15:00

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 11, 09:002024-11-11 09:00:00 UTC2024-11-11 10:00:00 UTC101
Nov 11, 10:002024-11-11 10:00:00 UTC2024-11-11 11:00:00 UTC000
Nov 11, 11:002024-11-11 11:00:00 UTC2024-11-11 12:00:00 UTC000
Nov 11, 12:002024-11-11 12:00:00 UTC2024-11-11 13:00:00 UTC000
Nov 11, 13:002024-11-11 13:00:00 UTC2024-11-11 14:00:00 UTC000
Nov 11, 14:002024-11-11 14:00:00 UTC2024-11-11 15:00:00 UTC000
Nov 11, 15:002024-11-11 15:00:00 UTC2024-11-11 16:00:00 UTC000
Nov 11, 16:002024-11-11 16:00:00 UTC2024-11-11 17:00:00 UTC000
Nov 11, 17:002024-11-11 17:00:00 UTC2024-11-11 18:00:00 UTC000
Nov 11, 18:002024-11-11 18:00:00 UTC2024-11-11 19:00:00 UTC000
Nov 11, 19:002024-11-11 19:00:00 UTC2024-11-11 20:00:00 UTC000
Nov 11, 20:002024-11-11 20:00:00 UTC2024-11-11 21:00:00 UTC000
Nov 11, 21:002024-11-11 21:00:00 UTC2024-11-11 22:00:00 UTC000
Nov 11, 22:002024-11-11 22:00:00 UTC2024-11-11 23:00:00 UTC000
Nov 11, 23:002024-11-11 23:00:00 UTC2024-11-12 00:00:00 UTC000
Nov 12, 00:002024-11-12 00:00:00 UTC2024-11-12 01:00:00 UTC000
Nov 12, 01:002024-11-12 01:00:00 UTC2024-11-12 02:00:00 UTC000
Nov 12, 02:002024-11-12 02:00:00 UTC2024-11-12 03:00:00 UTC000
Nov 12, 03:002024-11-12 03:00:00 UTC2024-11-12 04:00:00 UTC000
Nov 12, 04:002024-11-12 04:00:00 UTC2024-11-12 05:00:00 UTC000
Nov 12, 05:002024-11-12 05:00:00 UTC2024-11-12 06:00:00 UTC000
Nov 12, 06:002024-11-12 06:00:00 UTC2024-11-12 07:00:00 UTC000
Nov 12, 07:002024-11-12 07:00:00 UTC2024-11-12 08:00:00 UTC000
Nov 12, 08:002024-11-12 08:00:00 UTC2024-11-12 09:00:00 UTC000
Nov 12, 09:002024-11-12 09:00:00 UTC2024-11-12 10:00:00 UTC000
Nov 12, 10:002024-11-12 10:00:00 UTC2024-11-12 11:00:00 UTC000
Nov 12, 11:002024-11-12 11:00:00 UTC2024-11-12 12:00:00 UTC000
Nov 12, 12:002024-11-12 12:00:00 UTC2024-11-12 13:00:00 UTC000
Nov 12, 13:002024-11-12 13:00:00 UTC2024-11-12 14:00:00 UTC000
Nov 12, 14:002024-11-12 14:00:00 UTC2024-11-12 15:00:00 UTC000
Nov 12, 15:002024-11-12 15:00:00 UTC2024-11-12 16:00:00 UTC110

What Hacker News says

2 sources

Show HN: Foundation models for time series forecasting

After months of brewing the perfect recipe in our AI kitchen, we're beyond excited to introduce Sulie - a fully managed (Model as a Service) platform for time series forecasting that actually works! From day one, we've had one mission: make powerful time series forecasting as easy as ordering your morning coffee. Now, businesses can make accurate forecasts from their data without the hassle of building complex models from scratch. We kept hearing the same frustrations from data teams trying to work with foundation models for time series forecasting: 1. "The zero-shot performance is about as reliable as a chocolate teapot!" 2. "Fine-tuning these models? Easier to teach a cat to bark!" 3. "And don't get me started on covariate support..." What makes Sulie special? • Automated model fine-tuning using LoRA - no PhD required! • Full covariate
Read the rest
support for more accurate predictions. • Go from zero to production-ready forecasts in minutes (not weeks). • Zero ML complexity - we handle all MLOps heavy-lifting (you focus on the insights). We're already working with amazing customers who are: • Optimizing their supply chains • Making precise financial forecasts • Building custom models using Sulie's powerful embeddings And this is just the beginning! Stay tuned for deep dives into these use cases in the coming weeks Check us out: Python SDK: https://github.com/wearesulie/sulie Website: https://sulie.co
5 points · Open discussion
After months of brewing the perfect recipe in our AI kitchen, we're beyond excited to introduce Sulie - a fully managed (Model as a Service) platform for time series forecasting that actually works! From day one, we've had one mission: make powerful time series forecasting as easy as ordering your morning coffee Now, businesses can make accurate forecasts from their data without the hassle of building complex models from scratch. We kept hearing the same frustrations from data teams trying to work with foundation models for time series forecasting: "The zero-shot performance is about as reliable as a chocolate teapot! " "Fine-tuning these models? Easier to teach a cat to bark! " "And don't get me started on covariate support..." What makes Sulie special? • Automated model fine-tuning using LoRA - no PhD required! • Full covariate support
Read the rest
for more accurate predictions. • Go from zero to production-ready forecasts in minutes (not weeks). • Zero ML complexity - we handle all MLOps heavy-lifting (you focus on the insights). We're already working with amazing customers who are: • Optimizing their supply chains • Making precise financial forecasts • Building custom models using Sulie's powerful embeddings And this is just the beginning! Stay tuned for deep dives into these use cases in the coming weeks Ready to revolutionize your forecasting game? Check us out: Python SDK: https://github.com/wearesulie/sulie Website: https://sulie.co Let's make forecasting fun again!
In Show HN: Managed foundation models for time-series forecasting

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