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Improve website SEO and marketing groundwork
Signed-off-by: Tim Paine <3105306+timkpaine@users.noreply.github.com>
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‎MARKETING.md‎

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# DAU search and landing-page plan
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This plan keeps commercial search content evidence-led. It does not propose
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publishing thin comparison pages or performance claims before reproducible
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measurements exist.
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## Position
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DAU is workload-shaped FPGA acceleration for analytical software. It selectively
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maps supported Polars, dataframe, time-series, and domain operations into
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right-sized streaming hardware while unsupported work remains in familiar
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software.
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Primary distinction:
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- not a fixed database appliance;
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- not per-query synthesis in the runtime path;
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- not a claim that every dataframe operation belongs on an FPGA;
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- a reusable platform whose configurations improve around recurring workloads
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and scale across device classes.
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## Search-intent clusters
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Use these terms naturally in useful pages. Do not add a `meta keywords` tag or
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repeat phrases solely for ranking.
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### FPGA analytical acceleration
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- FPGA analytics accelerator
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- FPGA database acceleration
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- hardware-accelerated dataframes
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- reconfigurable dataflow analytics
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- FPGA query acceleration
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- composable FPGA accelerator
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### Polars and dataframe acceleration
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- Polars FPGA acceleration
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- Polars hardware acceleration
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- accelerate Polars queries
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- Polars GPU alternative
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- dataframe hardware acceleration
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- CPU GPU FPGA dataframe comparison
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### Time-series and market data
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- FPGA time-series analytics
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- market-data analytics acceleration
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- hardware-accelerated OHLCV
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- time-series aggregation FPGA
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- as-of join acceleration
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- resident market-data analytics
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Publish terms tied to as-of joins, rolling analytics, or options only after the
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named operation is implemented and measured.
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## Recommended pages
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### Workload pages
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1. `/workloads/time-series-analytics`
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- Public target after TSBS coverage is frozen.
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- Explain bars, windows, rates, resampling, state bounds, and residency.
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2. `/workloads/market-data`
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- Lead with the measured OHLCV workflow.
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- Add quote/trade as-of fusion only after silicon validation.
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3. `/workloads/polars-dataframes`
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- Explain lazy-plan capture, selective offload, and explicit fallback in
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user language.
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4. `/workloads/options-pricing`
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- Hold until analytic pricing or PDE hardware exists and has accuracy and
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native CPU baselines.
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### Comparison and educational pages
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1. `/compare/polars-cpu`
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- First comparison page because a measured baseline already exists.
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- Show cold, resident, and break-even behavior rather than one speedup.
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2. `/compare/gpu-vs-fpga-analytics`
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- Educational decision guide covering workload shape, transfer, residency,
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precision, power, programmability, and deployment.
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3. `/compare/nvidia-rapids-cudf`
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- Publish only after running the same predeclared Polars workflows on a
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documented NVIDIA system.
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- Acknowledge cuDF's broad GPU operator coverage and Polars integration.
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4. `/compare/amd-vitis-database`
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- Compare platform models and developer workflow first.
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- Do not make performance claims without matched hardware and queries.
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5. `/compare/fixed-accelerator-vs-workload-shaped`
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- Vendor-neutral explanation of DAU's flywheel, cache, and right-sizing.
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Do not target DuckDB, ClickHouse, or cloud warehouses as direct competitors
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until DAU exposes a comparable complete database surface. They can appear in
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CPU-baseline methodology without implying product equivalence.
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## Page template
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Every workload or comparison page should contain:
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1. a unique descriptive title and one H1;
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2. a direct answer to the searcher's decision;
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3. the workload and system boundaries;
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4. what DAU accelerates and what remains in software;
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5. a reproducible benchmark or an explicit “not yet measured” statement;
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6. cold, resident, and end-to-end costs where applicable;
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7. “Choose DAU when…” and “Choose the alternative when…”;
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8. limitations and current product status;
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9. links to relevant platform, proof, developer, and design-partner content;
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10. page-specific Open Graph metadata, canonical URL, and sitemap entry.
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Add FAQ structured data only when the same questions and answers are visible on
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the page. Add Product structured data only when DAU has a purchasable product
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with accurate availability and offer information.
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## Evidence gate
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A named comparison requires:
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- frozen workload and dataset;
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- documented CPU/GPU/FPGA system configurations;
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- competent native baseline rather than a Python row UDF;
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- correctness or numerical-accuracy criteria;
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- complete host preparation, transfer, execution, and result time;
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- repeated runs and distributions;
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- publication of unfavorable results and crossover regions;
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- copy reviewed against the source vendor's current documentation.
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## Site mechanics
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- Keep canonical URLs absolute and include only canonical pages in the sitemap.
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- Give each page a distinct title and meta description that matches visible
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content.
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- Use descriptive internal links rather than “learn more.”
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- Generate a 1200 × 630 social card for each major landing page.
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- Keep Organization and WebSite structured data on the home page; add
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BreadcrumbList to nested pages.
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- Submit the root sitemap through Google Search Console after deployment.
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- Validate structured data with Google's Rich Results Test and social previews
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with the platform debuggers after every metadata or image change.
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## Initial sequence
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1. Home page SEO and social preview.
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2. Measured market-data workload page.
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3. Polars/dataframe integration page.
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4. Polars CPU comparison with cold/resident break-even curves.
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5. Vendor-neutral GPU-versus-FPGA guide.
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6. Named cuDF and Vitis comparisons only after matched evaluations.

‎src/app.html‎

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<script type="application/ld+json">
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{
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"@context": "https://schema.org",
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"@type": "Organization",
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"name": "dau",
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"url": "https://dau.dev/",
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"logo": "https://dau.dev/img/dau-dark.png",
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"description": "Reconfigurable computing for analytical workloads, from personal accelerators to data-center-scale systems.",
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"sameAs": ["https://github.com/dau-dev"]
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"@graph": [
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{
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"@type": "Organization",
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"@id": "https://dau.dev/#organization",
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"name": "dau",
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"alternateName": "DAU",
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"url": "https://dau.dev/",
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"logo": {
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"@type": "ImageObject",
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"url": "https://dau.dev/favicon.png",
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"contentUrl": "https://dau.dev/favicon.png",
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"width": 128,
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"height": 128
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},
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"description": "dau builds workload-shaped FPGA acceleration for Polars, dataframe, time-series, and analytical computing.",
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"email": "dev@1kbgz.com",
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"sameAs": ["https://github.com/dau-dev"]
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},
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{
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"@type": "WebSite",
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"@id": "https://dau.dev/#website",
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"url": "https://dau.dev/",
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"name": "dau",
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"alternateName": "DAU",
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"description": "Workload-shaped FPGA acceleration for analytical data.",
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"inLanguage": "en",
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"publisher": { "@id": "https://dau.dev/#organization" }
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}
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]
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}
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</script>
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%sveltekit.head%

‎src/lib/home/About.svelte‎

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Hardware shaped to your workload. Software that stays familiar.
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</h2>
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<p class="text-lg md:text-xl leading-relaxed">
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dau selectively accelerates the parts of analytical workflows that benefit from streaming
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hardware. Reusable operations are composed into right-sized configurations, while
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unsupported work remains in familiar dataframe software. The same model scales from a
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personal accelerator to multi-card systems.
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dau selectively accelerates the parts of Polars, dataframe, time-series, and analytical
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workflows that benefit from streaming FPGA hardware. Reusable operations are composed into
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right-sized configurations, while unsupported work remains in familiar software. The same
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model scales from a personal accelerator to multi-card systems.
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</p>
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</div>
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‎src/lib/home/Headline.svelte‎

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Data. <span class="italic">Accelerated.</span>
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</p>
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<p class="max-w-3xl mx-auto text-lg md:text-xl text-neutral-200 leading-relaxed mb-10">
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dau maps high-value analytical operations into reconfigurable dataflow while the rest
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stays in familiar software—from a personal accelerator beside your laptop to
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data-center-scale systems.
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dau maps high-value Polars, dataframe, time-series, and analytical operations into
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reconfigurable FPGA dataflow while the rest stays in familiar software—from a personal
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accelerator beside your laptop to data-center-scale systems.
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</p>
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<div class="flex flex-col sm:flex-row items-center justify-center gap-4">
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<a

‎src/lib/home/Proof.svelte‎

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<p class="uppercase tracking-widest text-sm text-neutral-500 mb-4">From proof to platform</p>
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<h2 class="text-3xl md:text-5xl font-bold text-white mb-6">Measured on physical hardware.</h2>
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<p class="text-lg leading-relaxed text-neutral-400">
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dau began with a 5 GB NYSE TAQ dataset and a concrete analytical task: calculate OHLCV bars.
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After staging data on dpv1, repeated queries ran in 0.92 seconds versus 1.5 seconds on the
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CPU—39% lower per-query latency, with every result matched against the software golden. That
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measured workflow now informs the next platform configurations.
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dau began with a 5 GB NYSE TAQ market-data dataset and a concrete time-series analytical
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task: calculate OHLCV bars. After staging data on dpv1, repeated queries ran in 0.92 seconds
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versus 1.5 seconds on the CPU—39% lower per-query latency, with every result matched against
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the software golden. That measured workflow now informs the next platform configurations.
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</p>
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</div>
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<div class="grid gap-4">

‎src/routes/+page.svelte‎

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</script>
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<svelte:head>
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<title>dau — Data. Accelerated.</title>
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<title>dau | FPGA acceleration for Polars and analytical workloads</title>
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<meta
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name="description"
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content="dau selectively maps analytical workloads into right-sized, reconfigurable dataflow—from personal accelerators to data-center-scale systems."
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content="dau selectively maps Polars, dataframe, time-series, and analytical workloads onto right-sized FPGA dataflow, with CPU fallback and familiar software."
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/>
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<meta name="robots" content="index, follow, max-image-preview:large" />
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<link rel="canonical" href="https://dau.dev/" />
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<link rel="alternate" hreflang="en" href="https://dau.dev/" />
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<link rel="alternate" hreflang="x-default" href="https://dau.dev/" />
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<link rel="preload" as="image" href="/img/main-bg.webp" type="image/webp" fetchpriority="high" />
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<meta property="og:type" content="website" />
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<meta property="og:locale" content="en_US" />
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<meta property="og:site_name" content="dau" />
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<meta property="og:title" content="dau — Data. Accelerated." />
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<meta property="og:title" content="dau — Workload-shaped FPGA acceleration" />
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<meta
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property="og:description"
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content="Workload-shaped acceleration for analytical data at every scale."
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content="Right-sized FPGA dataflow for Polars, dataframe, time-series, and analytical workloads—with familiar software and explicit CPU fallback."
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/>
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<meta property="og:url" content="https://dau.dev/" />
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<meta property="og:image" content="https://dau.dev/img/main-bg.jpg" />
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<meta property="og:image:width" content="1600" />
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<meta property="og:image:height" content="1288" />
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<meta property="og:image:alt" content="dau — Data. Accelerated." />
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<meta property="og:image" content="https://dau.dev/img/social-card.png" />
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<meta property="og:image:secure_url" content="https://dau.dev/img/social-card.png" />
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<meta property="og:image:type" content="image/png" />
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<meta property="og:image:width" content="1200" />
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<meta property="og:image:height" content="630" />
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<meta
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property="og:image:alt"
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content="dau workload-shaped FPGA acceleration platform and configuration flywheel"
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/>
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<meta name="twitter:title" content="dau — Data. Accelerated." />
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<meta name="twitter:title" content="dau — Workload-shaped FPGA acceleration" />
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<meta
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name="twitter:description"
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content="Workload-shaped acceleration for analytical data at every scale."
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content="Right-sized FPGA dataflow for Polars, dataframe, time-series, and analytical workloads."
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/>
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<meta name="twitter:image" content="https://dau.dev/img/social-card.png" />
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<meta
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name="twitter:image:alt"
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content="dau workload-shaped FPGA acceleration platform and configuration flywheel"
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/>
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<meta name="twitter:image" content="https://dau.dev/img/main-bg.jpg" />
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<meta name="twitter:image:alt" content="dau — Data. Accelerated." />
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</svelte:head>
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<Headline />

‎static/img/social-card.png‎

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‎static/img/social-card.svg‎

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‎static/site.webmanifest‎

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{
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"name": "dau — Data. Accelerated.",
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"short_name": "dau",
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"description": "Reconfigurable computing for analytical workloads at every scale.",
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"description": "Workload-shaped FPGA acceleration for Polars, dataframe, time-series, and analytical workloads.",
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"start_url": "/",
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"display": "standalone",
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"background_color": "#111111",

‎static/sitemap.xml‎

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<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
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<url>
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<loc>https://dau.dev/</loc>
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<lastmod>2026-07-23</lastmod>
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</url>
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</urlset>

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