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the government sent me a traffic sniffer

Hacker News

the government sent me a traffic sniffer

Is anyone else on HN participating in this FCC research project to measure broadband performance? [1] I signed up for more information when the project was announced, some time ago, but a few days ago the device arrived. Technically, it is quite an interesting little box. It's a generic consumer device, shaped like a wireless router, with an antenna and five RJ-45 jacks. But it works more like a bridge, plugging in between my existing ADSL modem/wireless-router and any wired devices that used to be plugged directly into the existing ADSL. No changes needed to be made to any of the wireless devices in the house ---the antenna on the new device sniffs any wireless networks in the vicinity. It came with a printed copy of the GPL. There was no configuration required except to plug it in. Within a few hours, I received an email announcing that it had successfully phoned home and offering a login to the web site where I could view graphs showing the results of measurements on my broadband connection. I've not examined the software in the device yet to figure out what all it's actually doing, but I can't help wondering [2]. [1] http://www.samknows.com/fcc_and_samknows [2] Two years ago there was a brief discussion on HN about it: https://news.ycombinator.com/item?id=2837451

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, email · Missing: mac, agents, macos
77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released
68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
46%46% 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
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
12%12% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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