# Caveman vs N71 (tlc.ai)

Caveman records 171,826 monthly visits with -15.5% month-over-month growth and Freemium, Contact for Pricing pricing. N71 (tlc.ai) records 0 monthly visits with 0% growth and Paid, Contact for Pricing pricing.

| Metric | [Caveman](https://openaitools.app/tool/caveman) | [N71 (tlc.ai)](https://openaitools.app/tool/n71) |
| :--- | :--- | :--- |
| Website URL | https://caveman.so | https://n71.ai |
| Categories | AI Developer Tools, AI Agent, AI Monitor, AI Productivity Tools | AI Agent, AI Assistant, AI Knowledge Base, AI Knowledge Management |
| Pricing Model | Freemium, Contact for Pricing | Paid, Contact for Pricing |
| Monthly Visits | 171,826 | 0 |
| MoM Growth Rate | -15.5% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 64,225 | 0 |
| Review Score | 4.7 | 4.1 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Caveman

Caveman addresses a very concrete problem for teams running AI agents: token bills grow faster than the value the agents produce. The core agent and SDK are free and MIT-oriented, sitting entirely on your machine or inside your production app. When a turn happens, Caveman scans logs, test output, JSON, diffs and documents, shrinks them before the model ever sees them, and keeps the original on disk so the model can ask for it when it genuinely needs the exact text.

Beyond reading, Caveman also trims what the agent writes and picks the model per turn. Its output compressor strips filler prose while returning code, commands and error text byte-for-byte, and its routing layer hands each sub-agent task to the cheapest model and effort level that still gets it right. The company publishes benchmark figures such as around 33% fewer input tokens across full sessions and roughly 0.46x cost per task compared with always-frontier-model routing.

Caveman Cloud is the paid, hosted layer. It watches live traffic, surfaces where tokens are still wasted, tests each proposed fix against your own work, and only then ships it with proof. The Cloud Free plan covers a single developer, Team is $300 a month with $300 of usage included, and Enterprise runs inside your own VPC via a Helm chart with your KMS and storage.

**Pricing & Plans:** Freemium, Contact for Pricing

[Profile (Markdown)](https://openaitools.app/tool/caveman.md)

## N71 (tlc.ai)

N71 is best understood as an infrastructure play rather than a chat product. The company's core idea is that most applications waste tokens: redundant context, repeated calls, and inefficient prompt patterns all inflate the bill at the model provider. Instead of asking developers to rewrite prompts or migrate to a new model, N71 sits transparently behind the API endpoint, inspects and processes requests, and returns results that satisfy the same quality bar for meaningfully less money.

The product is explicitly model agnostic, so it works across whatever LLM providers an application already uses. According to the company, the layer delivers 30%+ lower model costs, and it publishes benchmark methodology plus documentation so teams can reproduce the comparison with their own requests and quality criteria. The pitch is that you keep your model client, prompts and conversation flow unchanged — tlc handles the processing behind the API.

Access is currently gated: the site is in early access with a waitlist, and an invitation unlocks pricing, usage limits and connection details. Because the product is still pre-general-availability, published dollar pricing is not available yet, and prospective users should join the waitlist to get commercial terms.

**Pricing & Plans:** Early access / waitlist. No public list price yet — an invitation includes pricing, usage limits and connection details. The company claims 30%+ lower model costs versus running the same requests without the layer.

- **Transparent API-side optimization:** Fits behind the model API your application already uses, so you keep your existing model client, prompts and conversation flow with no rewrite.
- **Model agnostic by design:** Works across the LLM providers you already call instead of locking you into a single vendor or model family.
- **Claimed 30%+ cost reduction:** The company reports 30%+ lower model costs and provides documentation and a benchmark methodology so you can verify results with your own requests.
- **Reproducible benchmark methodology:** Published benchmarks explain how savings are calculated, including model calls, processing, checks and retries on both sides of the comparison.
- **Early-access onboarding:** Waitlist invitations include pricing, usage limits and the connection details needed to wire tlc into an existing application.

**Strengths:** Model agnostic — works with the providers you already use; No prompt or application rewrite required; it sits behind the API; Publishes a benchmark methodology so savings claims can be independently checked; Early-access onboarding includes pricing, usage limits and connection details

**Limitations:** Still in early access behind a waitlist, so you cannot self-serve today; No public dollar pricing yet, which makes budgeting harder; Real-world savings depend heavily on how wasteful your existing prompt patterns are

[Profile (Markdown)](https://openaitools.app/tool/n71.md)

## Frequently Asked Questions

### How do Caveman and N71 (tlc.ai) compare in monthly traffic?

Caveman has 171,826 monthly visits, while N71 (tlc.ai) has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Caveman has a month-over-month growth rate of -15.5%; N71 (tlc.ai) has 0%.

### How does pricing compare?

Caveman: Freemium, Contact for Pricing. Freemium, Contact for Pricing N71 (tlc.ai): Paid, Contact for Pricing. Early access / waitlist. No public list price yet — an invitation includes pricing, usage limits and connection details. The company claims 30%+ lower model costs versus running the same requests without the layer.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | Runs parallel CLI coding agents in isolated worktrees, lacking dedicated context compression and cost routing tools. | [.md](https://openaitools.app/tool/orca.md) |
| 2 | [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | -17.6% | Free | Open-source, memory-efficient fine-tuning and local model running | [.md](https://openaitools.app/tool/unsloth-ai.md) |
| 3 | [Treg](https://openaitools.app/tool/treg) | 452,935 | +223.4% | Freemium | One key for 4,100+ agent tools, pay per call | [.md](https://openaitools.app/tool/treg.md) |
| 4 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Provides an enterprise context engine for coding agents, but lacks open-source token compression and custom model routing. | [.md](https://openaitools.app/tool/augment-code.md) |
| 5 | [Morph](https://openaitools.app/tool/morph-apply-ai-edits-to-files-fast) | 306,961 | +9.5% | Free Trial, Contact for Pricing | Fast Apply and agent-tuned inference for coding agents | [.md](https://openaitools.app/tool/morph-apply-ai-edits-to-files-fast.md) |
| 6 | [APIMaster](https://openaitools.app/tool/apimaster) | 210,182 | +46.3% | Paid | One OpenAI-compatible key for discounted GPT, Claude and Gemini access | [.md](https://openaitools.app/tool/apimaster.md) |
| 7 | [Portkey](https://openaitools.app/tool/portkey-ai) | 195,650 | -9.4% | Freemium, Paid, Contact for Pricing | AI gateway, observability and guardrails for production LLM apps | [.md](https://openaitools.app/tool/portkey-ai.md) |
| 8 | [TextCortex AI](https://openaitools.app/tool/textcortex-ai) | 150,520 | +12.7% | Freemium, Free Trial | No-code AI agents grounded in your company's knowledge | [.md](https://openaitools.app/tool/textcortex-ai.md) |
| 9 | [Agno](https://openaitools.app/tool/agno) | 140,302 | -3.3% | Contact for Pricing, Free | Provides an open-source Python framework for building model-agnostic agents without built-in context compression. | [.md](https://openaitools.app/tool/agno.md) |
| 10 | [Honcho](https://openaitools.app/tool/honcho) | 137,752 | +2.2% | Paid, Contact for Pricing | Open-source AI memory that reasons, not just stores | [.md](https://openaitools.app/tool/honcho.md) |

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Source: https://openaitools.app/compare/caveman-vs-n71

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