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Increase ye WPM with TMS

Hacker News

Increase ye WPM with TMS

"In this study, the effect of the transcranial magnetic stimulation (TMS) on the continuous voluntary movement of the finger was investigated. We measured the trajectory of the thumb tip and electromyogram (EMG) of the hand and forearm muscles after the TMS of the primary motor cortex area (M1) during continuous voluntary rotation of the thumb. The results showed that the velocity of the thumb tip was accelerated right after the TMS followed by the deceleration. It was indicated that enhance and suppression of the muscle activity by the TMS resulted in the change of the finger velocity in the voluntary movement." -- http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5109267&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5109267 You have come across various blog postings cataloging experiment involving the insertion of magnets under the skin of the fingers, for enhanced magnetic touch. Body hacking abounds. We're all waiting for tDCS, etc. But watch: http://www.lenoxhilltms.com/ And I had to double take during that introductory video when they discussed verifying proper placement of magnets over the prefrontal cortex, regarding their thumb test. --- I'm in vim and on http://typing.tk. Call TMS quackery all you want if you want. Of course this is anecdotal, but I have no conceptual framework to describe this other than "cog hacking." With hardware store magnets. Even now my teeth and jaws tingle. All of the side effects of TMS, and +2 Dexterity. Had to share.

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
66%66% 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
54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: activity · Missing: mac, agents, macos
32%32% 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
16%16% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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