docs: finalize launch metrics and multi-channel launch copy

Author: Ar5en1c

README.md

@@ -37,6 +37,7 @@ First-run onboarding:
 
 - Release notes: [docs/RELEASE_NOTES_v1.0.0.md](docs/RELEASE_NOTES_v1.0.0.md)
 - Launch thread copy: [docs/LAUNCH_THREAD_COPY_v1.0.0.md](docs/LAUNCH_THREAD_COPY_v1.0.0.md)
+- Launch day checklist: [docs/LAUNCH_DAY_CHECKLIST_2026-03-30.md](docs/LAUNCH_DAY_CHECKLIST_2026-03-30.md)
 - 8k validation protocol: [docs/VALIDATION_PROTOCOL_8K.md](docs/VALIDATION_PROTOCOL_8K.md)
 - Batch validation report: [reports/launch_8k_batch_validation_2026-03-28.md](reports/launch_8k_batch_validation_2026-03-28.md)
 - Device/model guide: [docs/DEVICE_MODEL_GUIDE_2026-03-30.md](docs/DEVICE_MODEL_GUIDE_2026-03-30.md)

docs/LAUNCH_DAY_CHECKLIST_2026-03-30.md

@@ -0,0 +1,101 @@
+# Launch Day Checklist (WebLLM Bench + Qwen2.5 ctx8192)
+
+## 1) Final links
+
+- Live app: `https://ar5en1c.github.io/webllm-bench/bench.html`
+- WebLLM Bench repo: `https://github.com/Ar5en1c/webllm-bench`
+- 8k workflow repo: `https://github.com/Ar5en1c/qwen2.5-1.5b-ctx8192-mlc`
+- HF hosted 8k model: `https://huggingface.co/Ar5en1c/Qwen2.5-1.5B-Instruct-q4f16_1-MLC-ctx8192`
+
+## 2) Claims to use (and only these)
+
+- Fixed-profile parity (`1024/128/10`): median deltas stay around parity band.
+- Long-output parity (`1024/512/5`):
+  - Throughput delta (8k vs 4k): `-1.96%`
+  - Latency delta: `+1.94%`
+  - Decode delta: `-1.98%`
+  - TTFT delta: `+0.63%`
+- Functional gate:
+  - 8k handles >4k retrieval prompts
+  - 4k fails at 5813 prompt tokens (ctx 4096)
+- Limitation:
+  - Browser WebGPU does not expose exact live GPU VRAM telemetry.
+
+## 3) Post order (same day)
+
+1. GitHub release (both repos)
+2. X thread
+3. LinkedIn post
+4. r/LocalLLaMA post
+5. WebLLM/MLC Discord post
+6. Hacker News post
+
+## 4) Channel-ready short copy
+
+### Reddit (r/LocalLLaMA) title
+
+`[OSS] WebLLM Bench v1.0.0 + Qwen2.5-1.5B ctx8192 hosted preset (parity-tested vs official 4k build)`
+
+### Reddit body
+
+`Open-sourced two repos:
+
+- WebLLM Bench (browser-native benchmark/chat/compare): https://github.com/Ar5en1c/webllm-bench
+- Qwen2.5-1.5B ctx8192 workflow package: https://github.com/Ar5en1c/qwen2.5-1.5b-ctx8192-mlc
+- Live app: https://ar5en1c.github.io/webllm-bench/bench.html
+- HF hosted model: https://huggingface.co/Ar5en1c/Qwen2.5-1.5B-Instruct-q4f16_1-MLC-ctx8192
+
+Measured on fixed profile (1024/128/10): parity band vs official 4k baseline.
+Latest long-output stress run (1024/512/5): throughput delta -1.96%, latency +1.94%, decode -1.98%, TTFT +0.63%.
+
+Functional gate: 8k handles >4k retrieval prompts; 4k baseline overflows at 5813 tokens.
+
+Limitation: browser WebGPU doesn’t expose exact live GPU VRAM telemetry, so VRAM values are model metadata/proxy signals.`
+
+### Discord short post
+
+`Released: WebLLM Bench v1.0.0 + hosted Qwen2.5-1.5B ctx8192 preset.
+Live: https://ar5en1c.github.io/webllm-bench/bench.html
+Repo: https://github.com/Ar5en1c/webllm-bench
+8k model: https://huggingface.co/Ar5en1c/Qwen2.5-1.5B-Instruct-q4f16_1-MLC-ctx8192
+Result: 8k remains in ~2% parity band vs official 4k baseline on stress profile (1024/512/5).`
+
+### Hacker News title
+
+`Show HN: WebLLM Bench – benchmark/chat/compare local browser LLMs (+ hosted Qwen2.5-1.5B 8k preset)`
+
+### Hacker News post text
+
+`I open-sourced WebLLM Bench (browser-native local LLM benchmark/chat/compare toolkit) and a reproducible workflow package for a hosted Qwen2.5-1.5B ctx8192 build.
+
+Live app:
+https://ar5en1c.github.io/webllm-bench/bench.html
+
+Repos:
+https://github.com/Ar5en1c/webllm-bench
+https://github.com/Ar5en1c/qwen2.5-1.5b-ctx8192-mlc
+
+HF model:
+https://huggingface.co/Ar5en1c/Qwen2.5-1.5B-Instruct-q4f16_1-MLC-ctx8192
+
+Measured parity summary:
+- Fixed profile (1024/128/10): median deltas in parity band vs official 4k baseline
+- Stress profile (1024/512/5): throughput delta -1.96%, latency +1.94%
+
+Functional check:
+- 8k passes >4k retrieval prompts
+- 4k overflows at 5813 prompt tokens
+
+Limitations are explicitly documented (browser WebGPU VRAM telemetry is not exact).`
+
+## 5) First 24h response loop
+
+1. Reply to every issue/comment within 12 hours.
+2. Ask reporters to include:
+   - Browser/version
+   - Model ID
+   - Prompt/max tokens/iterations
+   - Export JSON
+3. For reproducibility disputes, point to:
+   - `docs/VALIDATION_PROTOCOL_8K.md`
+   - `reports/launch_8k_batch_validation_2026-03-28.md`

docs/LAUNCH_THREAD_COPY_v1.0.0.md

@@ -2,6 +2,7 @@
 
 Date: 2026-03-30
 Source metrics: `reports/launch_8k_batch_validation_2026-03-28.md`
+Latest stress parity run: 2026-03-30 (1024/512/5)
 
 ## 1) GitHub Release
 
@@ -31,10 +32,18 @@ What ships:
   - Decode delta: -0.53% .. +1.58%
   - Latency delta: -1.33% .. +0.48%
 
+Latest long-output stress parity (1024/512/5):
+- 4k baseline: latency 32248 ms, throughput 15.85 tok/s, decode 17.21 tok/s, TTFT 2393 ms
+- 8k custom: latency 32873 ms, throughput 15.54 tok/s, decode 16.87 tok/s, TTFT 2408 ms
+- Delta (8k vs 4k): latency +1.94%, throughput -1.96%, decode -1.98%, TTFT +0.63%
+
 Functional context gate:
 - 8k build passes >4k retrieval prompt checks
 - 4k baseline overflows at 5813 prompt tokens (context window size 4096)
 
+Stability note:
+- In long-output stress mode, one exit(1) runtime event was observed and auto-recovered by unload/reload retry; run completed.
+
 Important limitation:
 - Browser WebGPU does not provide exact live GPU VRAM counters. VRAM numbers are model metadata/proxy signals.
 
@@ -48,6 +57,8 @@ Report:
 
 Hosted preset artifacts:
 - https://huggingface.co/Ar5en1c/Qwen2.5-1.5B-Instruct-q4f16_1-MLC-ctx8192
+Live app:
+- https://ar5en1c.github.io/webllm-bench/bench.html
 ```
 
 ## 2) X Thread (Exact Copy)
@@ -70,7 +81,7 @@ New in this release: one-click hosted 8k preset in the UI.
 
 ### Post 2
 ```
-8k validation on fixed profile (1024 prompt / 128 output / 10 iterations), using 8 exported runs:
+8k validation on fixed profile (1024/128/10), using 8 exported runs:
 
 Median delta (8k custom vs 4k baseline):
 - Decode TPS: +0.11%
@@ -90,22 +101,34 @@ Interpretation: parity band, no material regression on this profile.
 
 ### Post 4
 ```
+Latest long-output stress parity (1024/512/5):
+- 4k throughput: 15.85 tok/s
+- 8k throughput: 15.54 tok/s
+- delta: -1.96%
+
+Other deltas:
+- latency: +1.94%
+- decode: -1.98%
+```
+
+### Post 5
+```
 Functional gate result:
 - ctx8192 build handles >4k retrieval prompts
 - ctx4096 baseline fails at 5813 prompt tokens with context overflow
 
 So this is not only a config change; it is validated long-context behavior.
 ```
 
-### Post 5
+### Post 6
 ```
 Limitation (explicit):
 Browser WebGPU does not expose exact live VRAM usage counters.
 
 Published VRAM numbers are model metadata / proxy signals, not hardware telemetry.
 ```
 
-### Post 6
+### Post 7
 ```
 Everything is reproducible from repo artifacts:
 - benchmark JSON exports
@@ -118,6 +141,15 @@ npm run report:8k:batch
 npm run launch:draft
 ```
 
+### Post 8
+```
+Links:
+- Live: https://ar5en1c.github.io/webllm-bench/bench.html
+- Repo: https://github.com/Ar5en1c/webllm-bench
+- 8k model: https://huggingface.co/Ar5en1c/Qwen2.5-1.5B-Instruct-q4f16_1-MLC-ctx8192
+- 8k workflow package: https://github.com/Ar5en1c/qwen2.5-1.5b-ctx8192-mlc
+```
+
 ## 3) LinkedIn Post (Exact Copy)
 
 ```
@@ -137,10 +169,23 @@ Range across runs:
 - Decode delta: -0.53% to +1.58%
 - Latency delta: -1.33% to +0.48%
 
+Latest long-output stress parity run (1024 prompt, 512 output, 5 iterations):
+- 4k baseline throughput: 15.85 tok/s
+- 8k custom throughput: 15.54 tok/s
+- Delta: -1.96%
+
+Other stress deltas:
+- Latency: +1.94%
+- Decode: -1.98%
+- TTFT: +0.63%
+
 Functional context check also passed:
 - ctx8192 build handled prompts beyond 4k context
 - ctx4096 baseline overflowed at 5813 prompt tokens
 
+Stress stability note:
+- One exit(1) runtime event occurred and was auto-recovered by unload/reload retry; run completed.
+
 One limitation to state clearly: browser WebGPU does not expose exact live VRAM counters, so VRAM values are metadata/proxy signals.
 
 All claims are backed by exported JSON reports and a reproducible validation script in the repository.

docs/PUBLISH_BOTH_OSS_PLAYBOOK.md

@@ -73,6 +73,7 @@ git push -u origin main
 
 Use:
 - `docs/LAUNCH_THREAD_COPY_v1.0.0.md`
+- `docs/LAUNCH_DAY_CHECKLIST_2026-03-30.md`
 
 Post channels (same day):
 - X thread

docs/RELEASE_NOTES_v1.0.0.md

@@ -41,9 +41,45 @@ Functional context gate:
 - 8k model handles a >4k retrieval prompt.
 - 4k baseline overflows at `5813` prompt tokens (`context window size: 4096`).
 
+## Long-output stress parity (latest run, 2026-03-30)
+
+Profile:
+- `promptTokens=1024`
+- `maxTokens=512`
+- `iterations=5`
+- `forceFullLength=true`
+
+4k baseline (official):
+- Avg latency: `32248 ms`
+- Throughput: `15.85 tok/s`
+- Decode TPS: `17.21 tok/s`
+- Prefill TPS: `338.11 tok/s`
+- TTFT: `2393 ms`
+- ms/token: `63.1`
+
+8k custom (hosted):
+- Avg latency: `32873 ms`
+- Throughput: `15.54 tok/s`
+- Decode TPS: `16.87 tok/s`
+- Prefill TPS: `335.96 tok/s`
+- TTFT: `2408 ms`
+- ms/token: `64.3`
+
+Delta (8k vs 4k):
+- Latency: `+1.94%`
+- Throughput: `-1.96%`
+- Decode TPS: `-1.98%`
+- Prefill TPS: `-0.64%`
+- TTFT: `+0.63%`
+- ms/token: `+1.90%`
+
+Runtime stability note:
+- One `exit(1)` event occurred in stress mode and was auto-recovered by unload/reload retry; benchmark completed.
+
 ## Claim-safe summary
 
 - [TESTED] Custom ctx8192 model is stable and remains in parity band vs the official 4k baseline on the fixed benchmark profile above.
+- [TESTED] Long-output stress profile (`1024/512/5`) also remains in parity band (about `~2%` delta).
 - [TESTED] The ctx8192 model passes functional >4k prompt handling where 4k fails by context limit.
 - [LIMITATION] Browser WebGPU does not expose exact live GPU VRAM usage counters; VRAM values are model metadata and JS heap proxies.