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HI

HIC – Same-Ring Isolation, 4ns IPC, Runs on 8086

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HIC – Same-Ring Isolation, 4ns IPC, Runs on 8086

HIC is a capability-secure OS kernel. It isolates system services inside Ring 0. Each service occupies a separate physical address range. The MMU enforces the boundary. There is no kernel IPC path. A cross-domain call is three instructions: call into an entry page, bt to test a domain ID against an authorization bitmap, jmp into the business logic. No privilege switch occurs. No kernel code runs during communication. Parameters travel in registers or shared memory. A caller cannot name the address of business logic because no mapping exists in its page tables. The MMU hardware will not produce that address. This invariant holds regardless of what code the attacker executes. The same guarantees hold without an MMU. On an 8086, segment descriptors replace page tables. The caller's LDT contains no descriptor for the business logic segment. Hardware refuses the far jump. The architecture is documented in full. The critical instruction sequences are in the repository. You can count the cycles yourself.

Visit productView on Hacker NewsApr 28, 2026
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Product HuntOn track for Day 1 leaderboard · Strong signals: physical, code · Missing: mac, agents, macos
65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, ide, io · Missing: https docs, excited, just released
41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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