Growth · alternatives · 2026
24 alternatives to CheapMMM
Marketing mix modeling in 60 seconds — just upload a CSV
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
Should you build an internal tool? Or just buy it?
2015 · baremetrics.com · its alternatives →
- 2
No-code MMM tool: Measure the true marketing ROI
2025 · mixmodeler.com · its alternatives →
- 3
Turn campaign data into your next marketing move
Jul 2026 · growthoptplaybook.com · its alternatives →
- 4
Provide an input CSV and a target field to predict, generate a model + code to run it. - minimaxir/automl-gs
2019 · github.com · its alternatives →
- 5
Yeah, there's AI, but I added it because I found it easier to find answers I'm looking for. For the data scientists, you can download the CSV and go crazy. Would love to know what discoveries or learnings can be found from it. To download the raw scraped data you need to become a paid member but you don't really need it unless you're wanting to finesse a table of data for a particular need. The cost is mostly just an incentive to help me pay the bills for running the website. The bunch of available CSV files contain large amounts of data which has everything from tags, genres, pricing,…
2025 · gginsights.io · its alternatives →
- 6
The ultimate tool for automated marketing reporting in Excel
2019 · supermetrics.com · its alternatives →
- 7
Build marketing dashboards in 60 seconds using AI
Dec 2025 · 1clickreport.com · its alternatives →
- 8AO
Machine Learning @ Airbnb
2021 · czhu12.github.io · its alternatives →
- 9
Hi HN, I was once given the advice: Don't waste expensive frontier model credits (GPT/Claude/etc.) on bulk work. Send the boring, repetitive, high-volume jobs to a smaller model, and save the expensive prompts for when you actually need frontier-level reasoning. I complained and told my manager that I shouldnt have to think about using certain models for certain coding tasks, and that one model should handle everything. Well, here we are anyway. If anyone needs a place to absolutely abuse an LLM with high-volume tasks, come beat ours up at https://yolo-auto.com. Here are…
Jul 2026 · yolo-auto.com · its alternatives →
- 10
Okiela▲8Profit & pricing insights in 30 seconds, not 30 hours
Feb 2026 · okiela.io · its alternatives →
- 11
FinetuneFast▲36Finetune your ML model in days - not weeks!
2024 · finetunefast.com · its alternatives →
- 12BA
Spent the last month building Fertit - basically a newsletter manager but you bring your own SMTP and skip the DevOps nightmare. All the features (subscriber management, admin dashboard, custom preferences) without the infrastructure markup. The math that broke me: Mailchimp: $230/month for 15k contacts My solution: $10/month infrastructure + $10 SendGrid = unlimited What I learned: The "enterprise" features are mostly database operations with SMTP APIs. But the 3 weeks of Go/PostgreSQL/Redis setup explains why people just pay ConvertKit $300/month. Here's the thing:…
2025 · fertit.com · its alternatives →
- 13
I'm a machine learning engineer who always found it annoying to integrate ML models into phone apps, smartwatch apps, microcontroller firmware etc... Why do we need all these libraries and runtimes with all the overhead, compatibility issues and other headaches, when it's just some math to be executed? So I made a compiler that simply converts the model into plain source code with no dependencies, and it actually solved all my deployment problems. Now I'm curious if it can help anyone else too. Through the link you can submit your model file (Keras h5, onnx soon to be supported), and I'll…
2023 · waveworks.dk · its alternatives →
- 14
Marketeze.ai▲23AI marketing platform for small businesses from £49/mo
Nov 2025 · marketeze.ai · its alternatives →
- 15TF
I’d originally launched my app: Private LLM[1][2] on HN around 10 months ago, with a single RedPajama Chat 3B model. The app has come a long way since then. About a month ago, I added support for 4-bit OmniQuant quantized Mixtral 8x7B Instruct model, and it seems to outperform Q4 models at inference speed and Q8 models at text generation quality, while consuming only about 24GB of RAM[3] at 8k context length. The trick is: a) to use a better quantization algorithm and b) to use unquantized embeddings and the MoE gates (the overhead is quite small). Other notable features include many more…
2024 · its alternatives →
- 16UA
Hello! So, I am experimenting with new approaches to automated machine learning, where you don't need anything besides either data or prompt This is a first platform from my auto ml serie called Łukasiewicz (Jan Łukasiewicz was a logician who created Polish notation) I much appreciate your feedback and if you want to try it out, I created a -75% off promo code "HACKERNEWS" on credits, so it hopefully will cover at least some of computing expenses, but more importantly will let you play with the platform at almost no cost Thank you!
2024 · lukasiewicz.tmlc.pl · its alternatives →
- 17
- 18WP
2025 · thepricer.org · its alternatives →
- 19
- 20TT
For the last few weeks, I have been working on training an LLM from scratch and deploying it in production on Google Cloud Platform. Finally, I trained a 30 million parameter model on 1 billion tokens and deployed it as a web service. You can access the LLM using this site - https://kunalmishra.info The following steps were taken to build Tiny Tales GPT 1. Downloaded and preprocessed 8GB of dataset using multiprocessing library. 2. Tokenized the data using byte pair encoding to create 1 billion tokens sharded in different bin files. 3. Defined a training setup and trained the model…
2024 · kunalmishra.info · its alternatives →
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- 22ZA
2025 · zenquery.app · its alternatives →
- 23
- 24
RefineFast▲14Validate your business idea with real-word data
2025 · refinefast.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 →