I

I composed a sonata with GPT-3 DaVinci-003 and you can too

Hacker News

I composed a sonata with GPT-3 DaVinci-003 and you can too

X:1 T:My Original Sonata M:4/4 L:1/4 K:Cmaj V:1 c2|"G"G2A2 B4 c4|"C"E2 F2 G4 A4|"F"A2 B2 c4 d4|"G"G6-|G2B2 c4 d4|"C"E2 F2 G4 A4|"F"A2 B2 c4 d4|"G"G6-| G2A2 B4 c4|"C"E2 F2 G4 A4|"F"A2 B2 c4 d4|"G"G6-|G2B2 c4 d4|"C"E2 F2 G4 A4|"F"A2 B2 c4 d4|"G"G6-| G2A2 B4 c4|"C"E2 F2 G4 A4|"F"A2 B2 c4 d4|"G"G6-|G2B2 c4 d4|"C"E2 F2 G4 A4|"F"A2 B2 c4 d4|"G"G6-| G2A2 B4 c4|"C"E2 F2 G4 A4|"F"A2 B2 c4 d4|"G"G6-|G2B2 c4 d4|"C"E2 F2 G4 A4|"F"A2 B2 c4 d4|"G"G2 G2:| V:2 "D"F2G2 A4 B4|"G"G2 A2 B4 c4|"D"F2G2 A4 B4|"G"G2 A2 B4 c4|"D"F2G2 A4 B4|"G"G2 A2 B4 c4|"D"F2G2 A4 B4|"G"G2 A2 B4 c4| "D"F2G2 A4 B4|"G"G2 A2 B4 c4|"D"F2G2 A4 B4|"G"G2 A2 B4 c4|"D"F2G2 A4 B4|"G"G2 A2 B4 c4|"D"F2G2 A4 B4|"G"G2 A2 B4 c2:| V:3 "C"G,2 G,2 G,2 G,2|"G"G,2 G,2 G,2 G,2|"C"G,2 G,2 G,2 G,2|"G"G,2 G,2 G,2 G,2|"C"G,2 G,2 G,2 G,2|"G"G,2 G,2 G,2 G,2| "C"G,2 G,2 G,2 G,2|"G"G,2 G,2 G,2 G,2|"C"G,2 G,2 G,2 G,2|"G"G,2 G,2 G,2 G,2|"C"G,2 G,2 G,2 G,2|"G"G,2 G,2 G,2 G,2| "C"G,2 G,2 G,2 G,2|"G"G,2 G,2 G,2 G,2|"C"G,2 G,2 G,2 G,2|"G"G2G2 G2G2:| paste the above into the link ( https://editor.drawthedots.com/ ) 1st prompt: Write an original sonata. Use standard ABC notation playable online. 2nd prompt: Write an original sonata that gets progressively more energetic and optimistic. Use standard ABC notation playable online.

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Actual performance

3points
1comments
Did not reach leaderboard

Launch Intel predictions

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TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
40%40% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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