Work · alternatives · 2026
24 alternatives to HyperProphet – The Easiest Way Run FB Prophet at Scale
We are Anand and Raghav, the creators of HyperProphet (https://hyperprophet.com/), a tool to enable developers to compute thousands of forecasts in minutes using fbprophet without worrying about infrastructure. Scaling forecast computation is a hard problem, often costs developers in productivity. Even established organizations spend a lot of time trying address this, but often the outcomes are not easy to use and manage[1][2]. We spent the last few years building a demand planning product for CPG and retail in which we had to forecast thousands of time-series. Computing such…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. HyperProphet – The Easiest Way Run FB Prophet at Scale launched in 2020; newer entries below may have overtaken it.
- 1SF
Hey folks! We're Alex and Evan, and we're working on putting together a 512 H100 compute cluster for startups and researchers to train large generative models on. - it runs at the lowest possible margins (<$2.00/hr per H100) - designed for bursty training runs, so you can take say 128 H100s for a week - you don’t need to commit to multiple years of compute or pay for a year upfront Big labs like OpenAI and Deepmind have big clusters that support this kind of bursty allocation for their researchers, but startups so far have had to get very small clusters on very long term contracts, wait…
2023 · sfcompute.org · its alternatives →
- 2
Think ChatGPT but personalized, real time, fact-checked
2023 · longshot.ai · its alternatives →
- 3
Here's a project I've been working on for the last few months. It's a new (I think) algorithm, that allows to adjust smoothly - and in real time - how many calculations you'd like to do during inference of an LLM model. It seems that it's possible to do just 20-25% of weight multiplications instead of all of them, and still get good inference results. I implemented it to run on M1/M2/M3 GPU. The mmul approximation itself can be pushed to run 2x fast before the quality of output collapses. The inference speed is just a bit faster than Llama.cpp's, because the rest of implementation…
2024 · asciinema.org · its alternatives →
- 4
LockedIn▲134Fast, Accurate Forecasting with your Excel Data
2024 · app.roadmap-tech.com · its alternatives →
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Pure Prophet▲64Make guaranteed money from prediction markets
Apr 2026 · pureprophet.ai · its alternatives →
- 7
Experimental Global Optimization Algorithm. Contribute to chrisstroemel/Simple development by creating an account on GitHub.
2018 · github.com · its alternatives →
- 8
RunInfra▲156Describe the AI model you need and get an optimized AI
Jul 2026 · runinfra.ai · its alternatives →
- 9HF
I wanted to see how difficult it would be to build a web app using a sub-$300 android smartphone. Decided to build a fun predictions website where you could bet virtual (not real) money on predictions made by others, and also make predictions of your own. Building it turned out to be considerably easier and more fun than I anticipated. Primary tools used were: # QuickEdit as the mobile code editor (Note: the free version of the QuickEdit app is riddled with ads, it shows an advert each time you close a tab, but it unfortunately had the best UI of the 3 or so Android code editors I tested.…
2022 · kudotap.com · its alternatives →
- 10
SelfHostLLM▲134A simple calculator that estimates how many concurrent requests your GPU can handle for a given LLM, with shareable results.
2025 · selfhostllm.org · its alternatives →
- 11
Lift your conversion rate with repeatedly AB tested patterns
2018 · goodui.org · its alternatives →
- 12
Probabilistic data structures for processing continuous, unbounded streams. - tylertreat/BoomFilters
2015 · github.com · its alternatives →
- 13PM
2020 · medium.com · its alternatives →
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Prophet▲5Prophet is forecasting procedure implemented in R and Python
2017 · facebookincubator.github.io · its alternatives →
- 16
Live GP intelligence for 970+ actively deploying VC funds
Jul 2026 · fundmomentum.vc · its alternatives →
- 17
A simple re-implementation of Google's sparsehash as a learning excercise. - qpfiffer/Simple-Sparsehash
2015 · github.com · its alternatives →
- 18PG
I’m Andrew, co-founder of Recall. Over the past few days I’ve been building Predict, a playground where anyone can: - propose skills we should measure in language models—live examples include difficult math, memory-manipulation resistance, code generation, and empathy under bad news - write evals (graded prompts) for those skills - forecast which models will score highest once GPT-5 is released Why this exists Benchmarks leak into training data quickly; scores are unreliable and labs still declare progress. The prediction tool aims keeps the target moving by letting the crowd define both the…
2025 · its alternatives →
- 19
Investment Funds Analysis and Data Platform
2025 · apps.apple.com · its alternatives →
- 20PI
Hey HN! I'm Alex, one of the co-founders at Global Predictions. We are officially launching PortfolioPilot today! Since starting the company 2 years ago, we’ve been working tirelessly to build a personal portfolio management platform that empowers everyday people to feel more confident investing. We focused on aggregating your entire net worth, evaluating across a set of standardized metrics, and offering suggestions based on our commercial-grade Macro Insights & Recommendation Engine. We started by building a product we wanted to use and iterated and refined based on early user feedback. We…
2022 · its alternatives →
- 21
I wanted to build an inference provider for proprietary AI models, but I did not have a huge GPU farm. I started experimenting with Serverless AI inference, but found out that coldstarts were huge. I went deep into the research and put together an engine that loads large models from SSD to VRAM up to ten times faster than alternatives. It works with vLLM, and transformers, and more coming soon. With this project you can hot-swap entire large models (32B) on demand. Its great for: Serverless AI Inference Robotics On Prem deployments Local Agents And Its open source. Let me know if anyone…
Nov 2025 · github.com · its alternatives →
- 22OS
Startup Weekend just started in our city and we thought we'll build a Heroku autoscaler that really works, and saves you not only from slowly building traffic but from the slashdot effect as well.<p>Those who tried out ddollar's gem (and all forks of it) or even Heroscale know that the problem's not so trivial to solve.<p>We hope people will get it, and pay a small monthly fee to save many days of inrastructure coding so they can focus on business logic instead.<p>URL is: http://scalefu.com/
2011 · scalefu.com · its alternatives →
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Quick note on how it works and how I've done my batch embedding engine IgniteMS. The whole thing runs as one process using Rust, reading input, tokenizing, packing batches, keeping the queue full. TensorRT handles inference. Python is only as a wrapper. I built it this way because when you use more than couple of GPUs, the GPUs stop being the problem. CPU cannot feed them fast enough. One A100 can go through batches faster than Python can tokenize and feed, so the GPU just sits there idle waiting for work. Most of my time went into optimizing this. At 8 GPUs that was basically the entire…
Jun 2026 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →