Alternatives
Products that do what CMMC ROI does
Secure your dod contracts | bomberjacket networks
- 1OS
Looking for the cheapest place to deploy llama 3.1 model? Don't worry we have found it so you don't have to.
2024 · github.com
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The overall idea is to chart out the thousands of Mini PCs by benchmark and reveal the Pareto Front so you can get the most Compute per Dollar. Definitely a labor of love as I have a number of Mini PCs for my "homelab" (TrueNAS, piHole, Plex, basic stuff). It uses Gemini to extract specs from listings (since they're not often strongly categorized). Quick blog post here: https://luke.zip/posts/pareto-pcs/
Jun 2026 · minipcs.zip
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AI-powered chargeback defense. Pay only when you win.
Feb 2026 · marketplace.stripe.com
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- 8FI
I had a sweet deal $5k/mo customer. Their usage had been dropping for weeks, but I was busy building features to notice. Got the cancellation email on a Tuesday morning. That's a $60k/year in revenue I could have saved with a 10-minute phone call, if I'd known they were struggling. So I built https://firstdistro.com . It watches your customers' health (usage, engagement, activity) and alerts you when someone's at risk. One script tag. Health score in minutes. Alerts to Slack, email or Attio crm. Happy to answer questions about churn prediction, customer health scoring, or…
Dec 2025 · firstdistro.com
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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
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- 11OS
Hey Everyone! Avi and I (in the current YC S25 Batch) noticed how fragmented crypto compliance is with rules changing constantly, vary by region, and force developers and legal teams into a scramble. So we hacked together a prototype framework that generates a “guardrail” smart contract which: - Hooks into your KYC provider - Enforces rules defined a simple compliance.yaml file - Automatically blocks users you can't legally serve When regulations shift (new blocked country, updated KYC threshold, etc.), just update your YAML and redeploy with no smart contract rewrites. Audit prep also…
2025 · github.com
- 12TC
2023 · huggingface.co
- 13MS
As a consultant I foot my own Cursor bills, and last month was $1,263. Opus is too good not to use, but there's no way to cap spending per session. After blowing through my Ultra limit, I realized how token-hungry Cursor + Opus really is. It spins up sub-agents, balloons the context window, and suddenly, a task I expected to cost $2 comes back at $8. My bill kept going up, but was I really going to switch to a worse model? No. So I built l6e: an MCP server that gives your agent the ability to budget. It works with Cursor, Claude Code, Windsurf, Openclaw, and every MCP-compatible application.…
Apr 2026 · l6e.ai
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Prepare for your first big enterprise/government sales win.
Dec 2025 · squarepact.com
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Upload any contract. See every hidden deadline and penalty.
Apr 2026 · contracttimebomb.com
- 19IB
I 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,…
2025 · llm-stats.com
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- 21IS
Hi HN, I built AgenTank. It is a small game where an AI agent writes the logic for your tank. You watch it fight, give strategic feedback, let the agent update the tank code, and send it back into battle. I have run 1,000+ battles on my own tank and spent about $200 in Claude credits improving it. The part I enjoy most is not just winning, but watching the tank make visible mistakes, thinking of a better strategy, and seeing whether Claude can turn that into better code.
May 2026 · agentank.ai
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Post-Opus 4.6, LLMs feel much better at using bash, code, local files, and tools. So I kept coming back to a simple question: if a model can use a computer reasonably well, why can’t I just give it my broker account, a strategy, and let it trade? My conclusion is that the blocker is not model capability in the abstract. It is the system around the model. A raw LLM breaks on a few practical things almost immediately: • no persistent operating memory across sessions • no trustworthy record of what it did and why • no hard approval boundary before money moves • no cheap always-on monitoring if…
Mar 2026 · github.com
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Behavioral trust scores for 14,824 MCP servers
May 2026 · dominionobservatory.com
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Block bad command execution and keep you away from danger.
May 2026 · github.com
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