返回 last30days-skill
v2.5-launch-tweets.md
根目录 / docs / v2.5-launch-tweets.md
1 # last30days v2.5 Launch Thread
2
3 ## FINAL THREAD (6 tweets)
4
5 ### 1/6 - Announcement
6
7 I can't believe it's been 30 days since I launched @slashlast30days. 3.2k stars later, time for v2.5.
8
9 Three big additions:
10 1. @Polymarket prediction markets as a 6th source - helps you predict the future
11 2. Cross-source linking + massively better results - detects when the same story trends across multiple platforms. Ran a 15-way blinded comparison, v2.5 scored 4.38 vs 3.73 for the original. Won all 5 topics.
12 3. Hacker News as a 5th source - a window into the tech and developer insider world
13
14 github.com/mvanhorn/last30days-skill
15
16 ### 2/6 - Demo: Anthropic vs Pentagon
17
18 "/last30days Anthropic Pete Hegseth"
19
20 14 Reddit threads. 29 X posts (11,559 likes). 20 YouTube videos (739K views). 5 HN stories. 9 Polymarket markets.
21
22 This story broke TODAY. Hegseth designated Anthropic a "supply chain risk." Trump ordered every agency to stop using their tech.
23
24 Polymarket: Anthropic still 99% for best AI model. $500B+ valuation: 68%. IPO >$600B: 97%. Hegseth out by March: only 6%.
25
26 Markets say Anthropic wins regardless. That's the kind of signal you can't get from opinion threads.
27
28 ### 3/6 - Demo: Seedance Prompting
29
30 "/last30days Seedance prompting"
31
32 13 Reddit threads. 33 X posts. 20 YouTube videos (1.2M views, 4 transcripts). 15 web pages.
33
34 Top finding: Seedance 2.0 prompts follow a director's shot-list format, not freeform text. 30-100 words. Subject + Action + Camera + Scene + Style. Beyond 100 words, results degrade.
35
36 Then I said: "a cinematic drone shot over a city at golden hour"
37
38 It wrote me a copy-paste prompt using the exact patterns from the research. Research first, then create from what you learned.
39
40 ### 4/6 - Demo: Arizona Basketball
41
42 "/last30days arizona basketball"
43
44 6 Polymarket markets. 37 X posts (4,200 likes). 15 YouTube videos (517K views). 2 Reddit threads.
45
46 Arizona is 25-2, set a program record with a 22-0 start, and holds a 2-game Big 12 lead with 3 games left. The Field of 68 called them "the TOUGHEST team in America" after escaping Baylor shorthanded. Kansas rematch Saturday - the highlight video from their first meeting has 248K views on ESPN's YouTube.
47
48 Polymarket: Championship 13%. #1 seed: 88%. Duke and Michigan each at 18% to win it all.
49
50 That's not a sports blog. That's Reddit reactions + X engagement + YouTube analysis + prediction market odds from one command.
51
52 ### 5/6 - Demo: Iran War
53
54 "/last30days iran war"
55
56 2 Reddit threads. 34 X posts (10,048 likes). 20 YouTube videos (1.6M views, 5 transcripts). 4 HN stories (850 points). 14 Polymarket markets ($473M volume).
57
58 Geneva talks just ended without a deal. 150+ US aircraft deployed. Two carrier strike groups in position. F-22s sent to Israel. Members of Congress who saw the secret war plan came out "terrified." @cenkuygur: "they are about to drag us into a war that 70-85% of Americans oppose" (7,700 likes).
59
60 Polymarket ($473M in volume - one of their biggest markets ever): strikes by 2026: 80%. By March 31: 68%. War Powers invoked: 51%. Formal war declaration: only 12%.
61
62 Markets say: strikes are very likely, declared war is not. That's the sharpest signal in the entire research.
63
64 ### 6/6 - Thank You
65
66 Thank you to ARJ999 and wkbaran on GitHub who filed three separate issues asking for Hacker News support. v2.5 delivers.
67
68 It's been a crazy 30 days. 3.2k stars. Six sources. Massively better results. Super excited to get this out.
69
70 Try it: /last30days [any topic]
71
72 github.com/mvanhorn/last30days-skill
73
74 ---
75 ---
76
77 ## REFERENCE MATERIAL BELOW
78
79 ## Context
80 - 3.2k stars on GitHub
81 - V2.5 headline features: Polymarket (6th source), Hacker News (5th source), cross-source linking
82 - Ran 15-way blinded comparison: 4.38/5.0 vs 3.73/5.0
83 - Won all 5 topics, zero regressions
84 - Cross-source linking: 3 -> 13 linked items
85 - Demo topics: Anthropic odds (11 markets), Arizona basketball (6 markets), Iran war ($425M volume)
86
87 ---
88
89 ## Post 1: Lead (Announcement)
90
91 V2.5 of @slashlast30days is out. Now with @Polymarket prediction markets, cross-source linking, and massively better results.
92
93 1. Polymarket as a 6th source - real money on outcomes, no API key needed
94 2. Hacker News as a 5th source
95 3. Cross-source linking - detects when the same story trends across multiple platforms
96
97 Ran a 15-way blinded comparison across 5 topics. v2.5 scored 4.38 vs 3.73 for the original. Won all 5. Zero regressions.
98
99 github.com/mvanhorn/last30days-skill
100
101 ---
102
103 ## Post 2: POLYMARKET AS A 6TH SOURCE.
104
105 Reddit tells you what people think. X tells you what people share. YouTube tells you what people watch. HN tells you what developers discuss.
106
107 Polymarket helps you predict the future.
108
109 "/last30days anthropic odds"
110
111 11 markets found. Best AI model February: Anthropic 98%. IPO before OpenAI: 64%. $500B+ valuation: 87%. Pentagon ban odds: only 22%.
112
113 Free API. No key. Real money on outcomes.
114
115 ---
116
117 ## Post 3: CROSS-SOURCE LINKING.
118
119 When a Seedance 2.0 tutorial has 44K YouTube views AND trends on HN AND gets discussed on Reddit, v2.5 flags it: [also on: HN, YouTube]
120
121 Old version linked 3 items across 5 test topics. New version links 13. The difference is hybrid similarity - combining character-trigram and token-level matching at a tuned threshold.
122
123 Cross-platform convergence is the strongest signal that something actually matters. Not engagement on one platform. Convergence across all of them.
124
125 ---
126
127 ## Post 4: 15-WAY BLINDED EVALUATION.
128
129 I don't trust vibes for measuring quality. So I ran a scientific comparison.
130
131 5 topics x 3 versions. Stripped version labels. Randomized as A/B/C. Scored on groundedness, specificity, coverage, actionability, and format.
132
133 v2.5: 4.38/5.0
134 v2.2 (HN only): 4.10/5.0
135 v2.0 (original): 3.73/5.0
136
137 Won all 5 topics. Zero regressions. Biggest gains: specificity (+0.8) and format (+1.0) from cross-source linking giving the synthesis better material to work with.
138
139 ---
140
141 ## Post 5: Demo - Anthropic Odds
142
143 Asked it about Anthropic odds.
144
145 11 Polymarket markets. 25 X posts. 13 YouTube videos (719K views). 6 HN stories (471 points).
146
147 Best AI model February: 98%. IPO before OpenAI: 64%. $500B+ valuation: 87%. FrontierMath 50% score: 48% (up 28% today). Pentagon ban: only 22%.
148
149 Markets say Anthropic is winning the model race AND the valuation race. The Pentagon thing is noise.
150
151 ---
152
153 ## Post 6: Demo - Arizona Basketball
154
155 "/last30days arizona basketball"
156
157 6 Polymarket markets. 37 X posts (4,200 likes). 15 YouTube videos (517K views). 2 Reddit threads.
158
159 Championship odds: 13%. #1 seed: 88%. Big 12 title: Arizona leads by 2.
160
161 That's not a sports blog. That's Reddit reactions + X engagement + YouTube analysis + prediction market odds from one command.
162
163 The Polymarket integration uses two-pass query expansion. First pass finds "Arizona Big 12." Second pass discovers the championship and #1 seed markets via tag-based domain bridging.
164
165 ---
166
167 ## Post 7: Demo - Iran War
168
169 The best Polymarket demo is news.
170
171 "/last30days iran war"
172
173 14 Polymarket markets. $425M+ in volume. 7 Reddit threads. 30 X posts. 20 YouTube videos (2M views). 18 HN stories (1,187 points).
174
175 US strikes Iran by 2026: 70%. War Powers by March: 60%. Israel strikes by June: 64%. Formal war declaration: only 8%.
176
177 Markets say: limited strikes with War Powers, NOT a declared war. Breaking Points (435K views) covered leaked Pentagon opposition. r/Conservative "imploding" per r/SubredditDrama.
178
179 One command. Six sources. Real money.
180
181 ---
182
183 ## Post 8: Credits + CTA
184
185 Also in v2.5: YouTube synonym expansion ("hip hop" now matches "rap" - relevance jumped 0.33 to 0.71), X handle resolution, and HN OR queries for framework topics.
186
187 The difference between "good research" and "research you'd actually trust" is in details like this.
188
189 Try it: /last30days [any topic]
190
191 github.com/mvanhorn/last30days-skill
192
193 ---
194
195 ## Post 9: Demo - Claude Code (ALL 6 sources)
196
197 "/last30days Claude Code"
198
199 3 Reddit threads (199 upvotes). 35 X posts (5,239 likes). 15 YouTube videos (1.4M views, 5 transcripts). 30 HN stories (~8,500 points). 8 Polymarket markets. 20 web pages.
200
201 All six sources hit. Top finding: the planning-first workflow has won. The #1 HN post this month (969 pts, 590 comments) is about separating planning from execution. Boris Cherny (Head of Claude Code) on Lenny's Podcast: "100% of my code is written by Claude Code - I have not edited a single line by hand since November."
202
203 Polymarket: Anthropic 99% for best AI model in February. 58% for March. Claude on FrontierMath at 55%. The US government rejected Claude - Polymarket has the Hegseth ban at 32%.
204
205 Then I asked it to dig deeper into the planning-first workflow. No new searches - it answered from what it already learned.
206
207 ---
208
209 ## Post 10: Demo - March Madness Odds (Polymarket + Sports)
210
211 "/last30days March Madness Odds"
212
213 2 Reddit threads. 31 X posts. 6 YouTube videos (46K views, 4 transcripts). 2 Polymarket markets.
214
215 Tournament winner: Duke 18%, Michigan 18%, Arizona 13%. #1 seeds: Michigan 98%, Duke 91%, Arizona 88%.
216
217 Duke is the hottest mover - went from +700 to +450 in one week. The skill surfaced that from sportsbook data, X commentary, and Polymarket odds simultaneously.
218
219 Then I asked it to break down Michigan vs Duke vs Arizona. Full analysis from the research it already had.
220
221 ---
222
223 ## Post 11: Demo - Seedance Prompting (Expert + Prompt Mode)
224
225 "/last30days Seedance prompting"
226
227 13 Reddit threads. 33 X posts. 20 YouTube videos (1.2M views, 4 transcripts). 1 HN story. 15 web pages.
228
229 Top finding: Seedance 2.0 prompts follow a director's shot-list format, not freeform text. 30-100 words. Subject + Action + Camera + Scene + Style + Constraints. Beyond 100 words, results degrade.
230
231 Then I said: "a cinematic drone shot over a city at golden hour"
232
233 It wrote me a copy-paste prompt using the exact patterns from the research. That's the skill's real power - research first, then create from what you learned.
234
235 ---
236
237 ## Post 12: Thank You + CTA (Final)
238
239 Thank you to ARJ999 and wkbaran on GitHub who kept asking for Hacker News support. Three separate issues. v2.5 delivers.
240
241 30 days. 3.2k stars. 6 sources. Massively better results.
242
243 Try it: /last30days [any topic]
244
245 github.com/mvanhorn/last30days-skill
246
247 ---
248
249 ## Post 13: Demo - Anthropic vs Pentagon (Breaking News + Polymarket)
250
251 "/last30days Anthropic Pete Hegseth"
252
253 14 Reddit threads. 29 X posts (11,559 likes). 20 YouTube videos (739K views, 5 transcripts). 5 HN stories. 9 Polymarket markets. 10 web pages.
254
255 This story broke TODAY. Defense Secretary Hegseth designated Anthropic a "supply chain risk" - believed to be the first time an American company has ever received this designation. Trump ordered every federal agency to stop using Anthropic tech.
256
257 Polymarket: Anthropic still 99% for best AI model. $500B+ valuation: 68%. IPO >$600B: 97%. Hegseth out by March 31: only 6%.
258
259 Markets say: Anthropic wins the model race regardless. Bettors don't think Hegseth survives this. That's the kind of signal you can't get from opinion threads.
260
261 ---
262
263 ## Post 14: Demo - OpenAI Insider Trading (News + Polymarket)
264
265 "/last30days OpenAI Insider Trading"
266
267 2 Reddit threads. 29 X posts. 4 YouTube videos (360K views, 4 transcripts). 2 HN stories. 15 Polymarket markets. 15 web pages.
268
269 An OpenAI employee was just fired for using confidential info to bet on Polymarket. 13 brand-new wallets appeared 40 hours before the browser launch. $309K bet on the right outcome. Unusual Whales flagged 77 suspected insider positions across 60 wallets.
270
271 Meanwhile Polymarket has OpenAI's IPO at $1.25-1.5T: 54%. Anthropic IPOs first: 62%. Best AI model: Anthropic 99%.
272
273 The prediction markets are both the story AND the source. One command pulled all of it together.
274
275 ---
276
277 ## Standalone Tweet: Polymarket Stats Line
278
279 "/last30days Anthropic Pete Hegseth"
280
281 The Pentagon just designated Anthropic a supply chain risk. First time ever for an American company. Trump ordered every agency to stop using their tech.
282
283 Here's what Polymarket says:
284
285 📊 9 markets │ Best AI model: 99% │ $500B+ valuation: 68% │ IPO >$600B: 97% │ Hegseth out by March: 6%
286
287 Bettors with real money on the line think Anthropic wins the model race, goes public at a massive valuation, and Hegseth doesn't survive this.
288
289 That's the gap between headlines and reality. One command, six sources.
290
291 github.com/mvanhorn/last30days-skill
292
293 ---
294
295 ## Recommended Thread Order (pick 8-10)
296
297 The full thread above is 12 posts. Here's what I'd cut to keep it tight:
298
299 **Must include (core story):**
300 1. Post 1 - Lead announcement
301 2. Post 2 - Polymarket ("Reddit tells you what people think...")
302 3. Post 3 - Cross-source linking
303 4. Post 4 - Blinded evaluation
304
305 **Best demos (pick 3-4):**
306 - Post 13 (Anthropic vs Pentagon) - STRONGEST. Breaking news today. Polymarket cuts through the noise. "Markets say Anthropic wins regardless."
307 - Post 9 (Claude Code) - All 6 sources. Massive numbers. Shows follow-up flow.
308 - Post 10 (March Madness) - Sports/Polymarket crossover. Timely with tournament approaching.
309 - Post 11 (Seedance) - Shows prompting flow. 1.2M YouTube views.
310 - Post 5 (Anthropic Odds) - Overlaps with Post 13 now. Skip.
311
312 **Skip or save for standalone tweets:**
313 - Post 5 (Anthropic Odds) - Redundant with Post 13
314 - Post 6 (Arizona Basketball) - Covered by March Madness now
315 - Post 7 (Iran War) - Great standalone tweet, not for launch thread
316 - Post 8 (Credits/minor features) - Fold into CTA
317
318 **My recommended 8-post thread:**
319 1. Lead (Post 1)
320 2. Polymarket (Post 2)
321 3. Cross-source linking (Post 3)
322 4. Blinded evaluation (Post 4)
323 5. Demo: Anthropic vs Pentagon (Post 13) - breaking news, best Polymarket showcase
324 6. Demo: Claude Code (Post 9)
325 7. Demo: March Madness (Post 10)
326 8. Thank you + CTA (Post 12)
327
328 ---
329
330 ## Video Script (~60 seconds)
331
332 **[Talking to camera]**
333
334 Oh my god, I can't believe it's been 30 days since I launched last30days. 3,200 stars on GitHub. This has been the craziest month.
335
336 Today I'm shipping v2.5 and I'm really excited about this one. Three big things.
337
338 **[Screen recording: typing /last30days Anthropic Pete Hegseth]**
339
340 First - Polymarket prediction markets as a 6th source. So this Anthropic-Pentagon story broke today. Hegseth designated Anthropic a supply chain risk, Trump ordered agencies to stop using their tech. Scary headline, right?
341
342 But Polymarket says: Anthropic still 99% for best AI model. IPO above 600 billion: 97%. Hegseth out by March: 6%. Real money on outcomes helps you predict the future. That's a different story than the headlines.
343
344 **[Screen recording: typing /last30days arizona basketball]**
345
346 Second - it now searches Hacker News and does cross-source linking. When the same story shows up on Reddit AND YouTube AND HN, it flags it. I ran a 15-way blinded comparison and v2.5 scored 4.38 versus 3.73 for the original. Won all 5 test topics.
347
348 **[Back to camera]**
349
350 Thank you to everyone who starred it, filed issues, and kept pushing me to make this better. Shoutout to the people on GitHub who literally filed three separate issues asking for Hacker News. v2.5 delivers.
351
352 Link in bio. Try it on anything.
353
354 ---
355
356 ## Scoring Note
357
358 The 4.38 vs 3.73 score is from a custom 5-dimension rubric (30% groundedness, 25% specificity, 20% coverage, 15% actionability, 10% format compliance) evaluated by Claude on blinded outputs. The relative ranking is meaningful; the absolute numbers are not. It's an LLM grading LLM output - useful for A/B comparison, not for claiming "4.38 out of 5 quality."
359
360 If using the score in a tweet, frame it as "scored X vs Y on a blinded comparison" not "rated 4.38/5.0 quality" - the former is honest, the latter implies an objective standard that doesn't exist.
361
361 lines MARKDOWN