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ASIC Netlist-to-RTL Recovery SaaS
Build a cloud tool that ingests GDS-derived or SPICE netlists and helps engineers recover gate groupings, hierarchy, and likely RTL-like functional blocks. The key value is reducing the expert labor required after extraction, where existing tools leave users with a huge low-level graph but little understanding.
Por que isso importa
You already know how to get a transistor or gate-level netlist out of a layout, but that is where the real pain begins. Instead of a readable design, you are staring at a massive graph with flattened structure, parasitics, and little clue about intent. To figure out what the block does, you manually trace patterns, infer standard logic structures, and rebuild hierarchy by hand. That work takes rare talent and a lot of time, which makes every reverse-engineering or legacy-maintenance project slow and expensive. A tool that shortens the leap from netlist to functional understanding would save expert hours immediately.
- · Feito para Semiconductor design teams, hardware security researchers, and specialized labs that already obtain netlists but need faster functional understanding of unknown or legacy digital blocks..
- · Monetização mais provável: SaaS subscription.
A Dor · Narrativa
You already know how to get a transistor or gate-level netlist out of a layout, but that is where the real pain begins. Instead of a readable design, you are staring at a massive graph with flattened structure, parasitics, and little clue about intent. To figure out what the block does, you manually trace patterns, infer standard logic structures, and rebuild hierarchy by hand. That work takes rare talent and a lot of time, which makes every reverse-engineering or legacy-maintenance project slow and expensive. A tool that shortens the leap from netlist to functional understanding would save expert hours immediately.
Detalhe da pontuação
Sinal de Mercado
Go-to-Market
Hardware security engineers and semiconductor design teams who already work with extracted netlists and need faster comprehension of digital blocks.
~5K-20K specialized professionals globally
cold outbound
$499/month
10 qualified demos and 3 paid pilot teams within 30 days from direct outreach to labs and chip teams
Escopo do MVP · 1–2 semanas
- Build parsers for SPICE and simple Verilog netlists using open-source libraries
- Implement graph representation for transistors, gates, and connectivity
- Create rule-based recognition for common logic cells and flip-flops
- Build a minimal web UI for uploading netlists and viewing recovered modules
- Collect 10 public benchmark circuits for evaluation
- Add hierarchy recovery heuristics for repeated graph motifs
- Generate plain-English functional summaries for detected blocks
- Implement confidence scoring and flag uncertain regions for manual review
- Export recovered structure to simplified Verilog-like output
- Run user tests with 3-5 target engineers and compare time saved versus manual analysis
Diferenciação
Por que isso pode falhar
Auto-refutação — o sinal de confiança mais importante
- 1Complex modern layouts may be too optimized or flattened for reliable automated recovery, causing output to be untrustworthy.
- 2The target market may be too narrow to support a standalone company unless enterprise pricing is high and sales execution is strong.
- 3Potential buyers may see this as a feature that should live inside existing EDA suites rather than as a separate product.
Resumo das evidências
Como a IA sintetizou este insight — sem citações literais
Several commenters agreed that extracting a netlist from layout is routine with industry tools, while the truly difficult step is understanding function afterward. Multiple participants described the workflow as a chain from extraction to gate recovery to RTL inference, implying a gap between what current tools produce and what users actually need. The discussion repeatedly emphasized that expert interpretation, not raw extraction, is the bottleneck.
Plano de Ação
Valide esta oportunidade antes de escrever código
Próximo Passo Recomendado
Construir
Sinais de demanda fortes. Há dor real e disposição a pagar — comece a construir um MVP.
Kit de Textos para Landing Page
Textos prontos para colar, baseados na linguagem real da comunidade Reddit
Título Principal
ASIC Netlist-to-RTL Recovery SaaS
Subtítulo
Build a cloud tool that ingests GDS-derived or SPICE netlists and helps engineers recover gate groupings, hierarchy, and likely RTL-like functional blocks. The key value is reducing the expert labor required after extraction, where existing tools leave users with a huge low-level graph but little understanding.
Para Quem É
Para Semiconductor design teams, hardware security researchers, and specialized labs that already obtain netlists but need faster functional understanding of unknown or legacy digital blocks.
Lista de Funcionalidades
✓ Import SPICE, Verilog, and extracted netlists ✓ Automated gate clustering and hierarchy recovery ✓ AI-assisted functional block labeling with confidence scores
Onde Validar
Compartilhe sua landing page no r/HN · front_page — é exatamente lá que esses pontos de dor foram descobertos.
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