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1. AI is now good enough to handle most creative tasks that once required human freelancers. 2. Still, subscription fatigue is real. Many people (myself included) don’t want to pay monthly for tools they use occasionally.
That’s why I created Cheaprr: a platform where you can “hire” AI bots for specific tasks on demand. It brings top AI tools (OpenAI, Midjourney, ElevenLabs, etc) together in one place.
The best part? Instead of paying for a subscription, you buy credits (called "Volts") and only spend them when you need a task done.
Cheaprr is still in beta, and I’m building it solo, so I’d love any feedback!
Website: https://cheaprr.com
They raised $3.5 million and claim to "help brands show up more frequently and favorably in AI Search."
They say they do this by using "proprietary algorithms and extensive datasets to query major LLMs and Retrieval systems at scale"... Which raises an eyebrow.
However, I think there is something to the idea of "LLM optimization" (mostly because Perplexity's founder keeps talking about its importance).
But LLM responses are non-deterministic. For example, if I ask "what are the five best running sneakers?" multiple times, it'll provide different answers each time.
So is this all just bullshit? Or, given how big of an industry SEO turned out to be, do you think it makes sense to take this seriously?
(If so, how would you go about optimizing your content to show up in LLM responses?)
- "Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models" (https://arxiv.org/pdf/2305.04091v3)
- "Accessing GPT-4 Level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B: A Technical Report" (https://arxiv.org/pdf/2406.07394v2)
Do you recommend any other papers?