Growth · alternatives · 2026
24 alternatives to Veltora
ML churn risk predictor benchmarked to 35+ real companies
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Tackle churn, customer health scores, predictive analytics
2022 · adaptivepulse.com · its alternatives →
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Syncly (YC W23)▲547Spot weak links in user journey, prevent churn
2024 · syncly.app · its alternatives →
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Almeta ML▲383Predict customer behavior on your site with ML, save on ads
2024 · almeta.cloud · its alternatives →
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LLM Stats▲293I was overspending on GPT-4o. It was really hard to compare different models I could switch to, so I built this LLM comparison tool. It shows leaderboards, pricing, and performance data across 100+ LLMs (including all major providers and open-source models). Key features: - Live pricing comparisons - Benchmark Scores (MMLU, HumanEval, GPQA, etc.) - Context length vs cost analysis - Speed/throughput tests across providers - Quality vs price visualizations - Open source (all data verifiable) Try it out: https://llmstats.com I'd like to know your opinion :) Tech stack: Next.js,…
Oct 2025 · llm-stats.com · its alternatives →
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AI-Powered Bank Customer Churn Insights, Automated Retention
2025 · share.streamlit.io · its alternatives →
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PHBench▲398Predict the next Series A from a ProductHunt launch
May 2026 · phbench.com · its alternatives →
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predicting customer churn in telecommunication industry
2025 · github.com · its alternatives →
- 11
Calculate customer health score and predict churn
2022 · revos.ai · its alternatives →
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Free product usage analytics for teams who care about growth
2018 · paddle.com · its alternatives →
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Churnaizer▲24AI-powered churn prediction and retention system for SaaS
2025 · churnaizer.lovable.app · its alternatives →
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Hi HN community, I have been working on benchmarking publicly available LLMs these past couple of weeks. More precisely, I am interested on the finetuning piece since a lot of businesses are starting to entertain the idea of self-hosting LLMs trained on their proprietary data rather than relying on third party APIs. To this point, I am tracking the following 4 pillars of evaluation that businesses are typically look into: - Performance - Time to train an LLM - Cost to train an LLM - Inference (throughput / latency / cost per token) For each LLM, my aim is to benchmark them for…
2023 · github.com · its alternatives →
- 19
The definitive guide to customer churn reduction
2020 · custify.com · its alternatives →
- 20
Real-time WooCommerce analytics & churn prediction
Jun 2026 · wordpress.org · its alternatives →
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Compare your performance to the rest of the SaaS industry
2024 · chartmogul.com · its alternatives →
- 23AT
I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…
2025 · llmapitest.com · its alternatives →
- 24
Your Guide to Predicting and Preventing Customer Churn
2025 · churnchamp.gumroad.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 →