AI tool comparison
PromptPaste vs Sup AI
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Productivity
PromptPaste
Your private AI prompt library — one hotkey away on Mac, iPhone, iPad
75%
Panel ship
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Community
Free
Entry
PromptPaste is a native Apple app that lets you save, organize, and instantly paste AI prompts from a Mac menu bar overlay or iOS share sheet. Hit ⌘⇧P anywhere on Mac and your entire prompt library is accessible without switching apps or hunting through notes. The app supports dynamic templates using {{variable}} placeholders so prompts can be customized at paste-time, folder-based organization, iCloud sync across all Apple devices, and link-based sharing of prompt collections. Crucially, everything is stored locally — no account required, no cloud sync of your actual prompts outside of iCloud. Built by indie developer Ivan Terehin, PromptPaste fills a genuine gap: most people accumulate dozens of AI prompts scattered across notes, docs, and chat history. Works with every major AI platform — ChatGPT, Claude, Gemini, Grok, Midjourney, GitHub Copilot, and more.
AI Productivity
Sup AI
Runs 339 LLMs in parallel and downweights the hallucinating ones.
50%
Panel ship
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Community
Free
Entry
Sup AI is an ensemble AI assistant that runs your query through 339 language models simultaneously, measures per-segment confidence across all responses, and synthesizes a final answer that amplifies agreement and suppresses likely hallucinations. The team claims a 52.15% score on Humanity's Last Exam (HLE) — 7.41 percentage points above the single best model — which, if verified, would make it the highest-scoring system on the benchmark to date. The underlying mechanism works like an LLM panel: each model votes on sub-claims within the response, confidence is estimated by agreement density, and the final output surfaces high-confidence segments while flagging uncertain ones. It's designed to reduce hallucination rate on factual tasks, not improve reasoning per se — the models in the ensemble aren't doing collaborative chain-of-thought, they're voting on outputs. Sup AI was built by Ken Mueller (Stanford, CEO) and Scott Mueller (AI Research Scientist) and launched on Product Hunt today. Pricing starts with $10 in free credits, no auto-charge, with a credit card required to start. The HLE benchmark claim is the headline and will face scrutiny — if verified, this is a meaningful research result. If it's cherry-picked, it's still a usable product with a differentiated architecture.
Reviewer scorecard
“The ⌘⇧P hotkey that drops your prompt library anywhere is the feature I didn't know I needed. I have system prompts, code review templates, and git commit formats that I paste constantly — having them one keystroke away instead of buried in Notion is a real productivity win.”
“The HLE claim needs independent verification, but the underlying ensemble approach is architecturally sound for factual Q&A tasks. Running 339 models is expensive — pricing will be the gating factor for production use. The $10 free credit is a fair trial.”
“This is a well-executed clipboard manager with an AI marketing angle, not really AI itself. Raycast and Alfred already do this with snippet libraries, and most power users are already in those ecosystems. The Apple-only constraint also limits its audience significantly.”
“Extraordinary claims require extraordinary evidence. A 7.41 point jump on HLE via ensembling — without publishing methodology — smells like benchmark gaming. The latency of running 339 models in parallel is also a real concern for anything other than async research tasks.”
“Personal prompt libraries are the new dotfiles — the accumulated knowledge of how to get AI tools to work for your specific workflows. Apps like PromptPaste are the beginning of a whole category of 'AI configuration layer' tools that will become essential infrastructure.”
“Model ensembling is an underexplored direction in the race to reduce hallucination. If Sup AI's approach scales, it could be more durable than fine-tuning individual models — you get the wisdom of the crowd across model families, training data, and architectures simultaneously.”
“For creators who use AI daily across writing, image generation, and video tools, having a single organized library across Mac and iPhone with variable templating is exactly the kind of workflow glue that saves an hour a week.”
“For creative work, ensemble outputs tend to regress toward the mean — you get the most-agreed-upon version of something, which is usually the least interesting version. This is a tool for factual accuracy, not creativity. I'd stick with a single strong model for writing.”
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