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deepseek-private-converter
OpenAI-DeepSeek private in 10min,96% cache, 10-month payback
What it does: → 96% Trie cache hit: 77K prompt = 73.9K cached, so 1 req/s → 25 req/s → Real $38.08/GPU-h cost, 10-month payback math inside → MIT licensed, works on both NVIDIA and Huawei Ascend 910B → Includes customer_service.py example - we run our bot on it
Would love your feedback - what's stopping you from going private?
About deepseek-private-converter on Product Hunt
“OpenAI-DeepSeek private in 10min,96% cache, 10-month payback”
deepseek-private-converter was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #190 on the daily leaderboard. OpenAI → DeepSeek private in 10min. 96% Trie cache, $38.08/GPU-h, 10-month payback. MIT, Huawei 910B compatible.
On the analytics side, deepseek-private-converter competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how deepseek-private-converter performed against the three products that launched closest to it on the same day.
Who hunted deepseek-private-converter?
deepseek-private-converter was hunted by sagi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of deepseek-private-converter including community comment highlights and product details, visit the product overview.
sagi
Hey PH! 👋 Sa here.
I was paying $38.08/GPU-hour and burning cash on OpenAI bills.
So I built a 1-file converter to move our whole stack to private DeepSeek:
openai_to_deepseek.py - 10 minutes to switch
What it does:
→ 96% Trie cache hit: 77K prompt = 73.9K cached, so 1 req/s → 25 req/s
→ Real $38.08/GPU-h cost, 10-month payback math inside
→ MIT licensed, works on both NVIDIA and Huawei Ascend 910B
→ Includes customer_service.py example - we run our bot on it
Why private?
No data leaves our VPC
Fixed cost, no per-token surprise
25x throughput with same GPU
Repo is fully open: https://github.com/sagi668899-ops/deepseek-private-converter
CI is green, docs + economics breakdown included.
Try it: python openai_to_deepseek.py --help
Would love your feedback - what's stopping you from going private?