I try to mute 10 people a day. Muting words like 'vibe' and similar nonsense is a killer hack, too. The feed gets so good after just a few months of this. The beauty of X is the filterability.

So you've done 12 experiments in 90 cultures. Starved cells to 2% FBS. Watched them die. Declared virology a fraud. Let me explain why this proves nothing except that you don't understand what virologists actually do. Your entire argument rests on one premise: CPE in cell culture equals the only evidence for viruses. Since CPE can occur from starvation alone, viruses don't exist. This is like saying "I can make someone fall down by pushing them, therefore gravity doesn't exist." CPE is a screening tool. It's the first step. It has never been the totality of viral identification. What happens after CPE is observed? Electron microscopy. Genome sequencing. Antibody detection. Animal challenge experiments. Re-isolation. Each step independently verifiable. You've controlled for one variable and declared victory over an entire field that uses dozens of converging methods. When a virologist observes CPE in cell culture, they don't publish "we found a virus" and call it a day. SARS-CoV-2 has been directly visualized by transmission electron microscopy in patient samples (throat swabs, nasal swabs, lung tissue) not in cell culture, directly from patients (Prasad et al., Indian J Med Res. 2020;151:241-243). The Indian Council of Medical Research published TEM images of SARS-CoV-2 particles directly from throat swab specimens showing characteristic coronavirus morphology with 75nm particles and club-shaped peplomers. In 2023, researchers at the Robert Koch Institute visualized SARS-CoV-2 particles in naso/oropharyngeal swabs using thin-section electron microscopy (Virology Journal. 2023;20:21). Virus particles were detected in the extracellular space and within ciliated cells. RT-PCR-negative samples showed no such particles. If CPE were the only criterion, why bother with any of this? As of September 2024, GISAID contains 16.9 million SARS-CoV-2 genome sequences. GenBank has over 8.9 million (JMIR Research Protocols, 2025). These sequences were submitted by thousands of independent laboratories in over 140 countries. The sequences show phylogenetic relationships consistent with evolutionary descent - mutations accumulating over time, geographic clustering, variant emergence. If there's no virus, what exactly are these 16.9 million independent laboratories sequencing? The same imaginary thing? From different patients, in different countries, using different equipment, getting greater than 99% identical sequences to the Wuhan reference genome? Rivers' postulates - the standard for viral causation since 1937 - require demonstrating disease in a susceptible host (Rivers TM. J Bacteriol. 1937;33:1-12). This has been done. Repeatedly. Syrian hamsters inoculated with SARS-CoV-2 develop pneumonia, weight loss, and lung pathology. Viral RNA is detected in their lungs. They seroconvert. Mock-inoculated hamsters don't (Chan JF et al., Clin Infect Dis. 2020;71:2428-2446). Ferrets develop respiratory symptoms, viral shedding, and transmit the virus to cage-mates through air (Kim YI et al., Cell Host Microbe. 2020;27:704-709). Rhesus macaques develop interstitial pneumonia with pathology indistinguishable from human COVID-19 patients (Munster VJ et al., Nature. 2020;585:268-272). The original SARS virus fulfilled all of Koch's postulates as modified by Rivers in 2003 - isolation, cultivation, filterability, disease reproduction in macaques, re-isolation, and specific immune response (Fouchier RA et al., Nature. 2003;423:240). Published in Nature. Peer-reviewed. Replicated. You claim virologists don't use proper controls. This is false. Mock-infected controls are standard practice in virology. The term literally appears in thousands of published papers. A mock-infected control is treated with identical conditions - same media, same FBS concentration, same antibiotics - but without viral inoculation. The comparison between infected and mock-infected cells is routine methodology (GenScript Molecular Biology Glossary, 2024). Your experiment showed that starving cells kills them. Congratulations. Virologists know this. That's why they use mock-infected controls at the same FBS concentration. That's why CPE alone is never definitive. You didn't expose anything. You demonstrated a phenomenon that's described in every cell biology textbook. You invoke Koch's postulates as if they're the only valid standard. Koch himself abandoned the universal application of his first postulate when he discovered asymptomatic carriers of cholera. In 1937, Thomas Rivers - the father of modern virology - published modified postulates for viral diseases specifically because viruses cannot be grown in pure culture like bacteria. His exact words: "It is unfortunate that so many workers blindly followed the rules, because Koch himself quickly realized that in certain instances all the conditions could not be met. Thus, in regard to certain diseases, particularly those caused by viruses, the blind adherence to Koch's postulates may act as a hindrance instead of an aid." That was 1937. You're using 19th-century bacterial criteria to judge 21st-century virology. It's like demanding that physicists prove relativity using only Newtonian mechanics. Your experiment showed that reducing FBS to 2% causes cell death. You showed that antibiotics at certain concentrations can damage kidney cell lines. You did not sequence anything. You did not visualize any particles. You did not test for specific viral proteins. You did not perform antibody detection. You did not challenge any animals. You did not compare your results to actual viral infection at matched conditions. You ran a partial negative control for one aspect of a multi-step process, then declared the entire process invalid. For your hypothesis to be correct, the following would need to be true: 16.9 million genome sequences submitted by thousands of independent labs across 140 countries are all fabricated or misinterpreted. Electron microscopy images from dozens of institutions worldwide are all artifacts. Animal challenge experiments from independent groups in multiple countries are all fraudulent or misinterpreted. Antiviral medications that target specific viral proteins work by coincidence. Vaccines that generate antibodies against specific viral epitopes protect against nothing. This isn't skepticism. It's unfalsifiable denialism dressed in scientific language. CPE is a screening tool, not a diagnostic endpoint. Viral identification uses multiple converging methods - sequencing, electron microscopy, antibody detection, animal models. Your experiment tested one variable in isolation and declared a field with 16.9 million independent data points to be fraudulent. You haven't isolated anything either. Including a coherent argument.

Gm @nikitabier - It looks like you guys need a proper on-chain data pipeline. Have you checked out @trycodex ? We have fast filterability for 65m tokens including a natural trending algo that filters out all the scams and it cannot be gamed or paid for. CT needs Codex.

This came at the expense of the filterability of the tables by draft info, unfortunately, for now. I do have a way forward to get that all restored, but it's gonna take a minute. Have plenty of time before draft season to get there, and the most frustrating bits are behind us.

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Parsec's explorer as a service 🔭 We recently shipped our third dedicated explorer that runs on the Parsec API for @SankoGameCorp, and we are super proud of the result SankoTools is a feature complete and high context Block explorer and analytics terminal: - Custom layouts for each type of address (EOA, token, NFT, contract, LP etc) - User activity and flow charts - In depth labelling and protocol integrations (@sudoswap, @CamelotDEX, SankoPets) - Ecosystem page to help users explore and navigate apps - Contextual transaction notes - Complete tx and transfer filterability - Text editor style code viewer - Comprehensive API from day one And all made to order and styled to Sanko's brand If you have an upcoming chain launch or just want some vibrant dashboards for your protocol analytics, please get in touch

Modern melt blown fabric with its electrostatic qualities is amazing. This SARS-CoV-2 virus is dispersed as droplets small enough that Brownian motion keeps them moving in air. The virus is not a bare virus in distilled water, mucus surrounds and improves filterability.

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Show me a paper with viral isolation and purification compliant with Rivers Postulate. If the paper refers to Koch’s postulates, that is a giveaway that they don't know what they are talking about, those postulates are for bacteria, not for viruses. In 1937, Thomas Rivers modified Koch’s postulates in order to determine the infectious nature of viruses. Rivers’ postulates are as follows: 1. The virus can be isolated from diseased hosts. 2. The virus can be cultivated in host cells. 3. Proof of filterability—the virus can be filtered from a medium that also contains bacteria. 4. The filtered virus can produce a comparable disease when the cultivated virus is used to infect experimental animals. 5. The virus can be re-isolated from the infected experimental animal. 6. A specific immune response to the virus can be detected. As with bacteria, scientists have never proved Rivers’ postulates for any so-called viral disease. westonaprice.org/health-topi…

Why we increased prices: - Awesome new features like added filterability like excluding keywords in your search - We were always one of the cheapest research AI tools - School starting back up = demand increase - Yearly subscription was very very cheap at ~$5/ month

October 2023 recap @sourcelyai Remember how it was at $2,500 MRR and worth $100k last month? It’s now at almost $4,000 MRR and worth ~$150k …. in just a month 😲 Reminder: We acquired sourcely 4 months ago on @acquiredotcom for $4,000 October was the 1st month since acquisition that students are back in school Safe to say that it did not disappoint 😉 Come with me to take a look at what we did in the last month to achieve this growth & what we learned 👇 Memory refresh 🧠 Numbers at acquisition Monthly visitors: 4,000-5,000 MRR: $500 (100 paying users) September Recap Unique visitors: 9,226 Revenue: $3,800 (hella yearly subs at $70 👀) Paid subs: 280 (1.5% conversion) Monthly Recurring Revenue: $2,500 (400 paying users) Onto the good part: Last 30 days (Growth month over month) Site visitors: 19,145 ( 24%) Unique visitors: 14,263 ( 25%) New subs: 1,322 ( 38% 🤯) Revenue: $3,784 Monthly Recurring Revenue: $3,500 (500 paying users) Another Cheeky Back-of-the-envelope valuation no one asked for $3,500 x 12 months = $42,000 ARR x 3.5 (Avg SaaS Acquisition Multiple acc. to @acquiredotcom) = $147,000 (I wouldn't sell for this 🤷‍♂️) I know this isn't a perfect valuation, but it does the job here So.... How has revenue stayed flat but MRR increased so much? I’ll explain it all down below! Changes we made last month: 1. New features and UI upgrade Probably the most important and impactful Massive feature additions and UI changes courtesy of @elmanmansimov Added advanced filterability for searching through sources like excluding keywords and minimum number of citations Users LOVE these new features and they bring us closer to PMF than ever before! 2. Increased prices by ~30% Along with these new features and with school starting back up we felt it was the right time to increase prices Monthly= $7 -> $9/ month Yearly= $67 -> $87/ year So far we have seen no real decrease in subs sold or increase in revenue but it has only been 2-3 weeks so hard to say 3. Setting up new distribution channels- Cold email, Student ambassador program, TikTok These new channels of distribution will enable us to level up in terms of customer acquisition I am still experimenting with these so not had the level of success we’ve seen with influencers and SEO I strongly believe setting up these distribution channels will pay massive dividends as we keep growing and allow us to really diversify our customer acquisition strategy I could really keep going here but I’ll leave you with one last tidbit TikTok was Sourcely's previous owner's largest customer acquisition channel but we haven’t worked on it at all (till now) 🤔 Changes we saw this month: 1. Higher no. of subs sold- increased by 40% in a month This is a massive increase month over month School starting back up was definitely the primary factor Saw a massive increase in subscriptions sold despite the increase in price Will be very interesting to see how this develops 2. Flat revenue despite an increase in subs sold & increase in MRR This is mainly because of the disproportionate number of yearly subs we sold last month Yearly subs sold dropped by 30% Monthly subs sold increased by 20% Monthly subs have picked up the revenue slack that Yearly subs left behind! Not only that, but they have increased MRR at a much faster rate since old yearly subs were at ~$5/ month compared to $9/ month now Overall effect has been that revenue is flat while MRR increased 3. 10% drop in avg. order value This is again due to fewer yearly subs being sold, decreasing the overall revenue returning customers average order value is 32% higher than the AOV of our first time customers With our increase in prices, I hope this comes back up and keeps increasing Will keep monitoring the developments Learnings from the past month: 1. First of all school is back stronger than ever We presumed most numbers during the summer were to be taken with a pinch of salt since its not representative of the whole With school coming back we have continued to see an increase in web traffic Most importantly our conversion rates have not changed (I was very worried about this) 2. Increase in monthly subs Lots more users are opting for the monthly subscription with academics starting back up I believe that the unusual number of yearly subscriptions sold during the summer was due to its low price and the fact that those doing academics during the summer are likely to be serious about their work and more likely to buy a yearly plan 3. Having a well-priced yearly plan changed the game for us It has given us a budget to play with going forwards Most importantly, after the massive increase in yearly subs sold last month It gave us a loyal user base that regularly uses the tool This core user base also becomes an extremely viable source for all types of advice and feedback- marketing, features, etc. Use your core users as a sounding board for all your ideas Bonus: @yomu_ai Just launched (in beta) the newest addition to StudentCo. with Yomu While Sourcely has been amazing, we have been hard at work to bring you a brand new student AI tool Yomu is a general essay-writing AI A more detailed thread coming for this soon! DM me if you want access to our beta Shout out @agazdecki @acquiredotcom @elmanmansimov @FarzaTV @_buildspace for various different reasons but mainly because they're GOATs Thanks for taking the time out of your busy day to read this post :) I appreciate and love every single one of you I would like to leave you guys with this awesome map showing Sourcely users from around the world 🫡

1. Efficient filterability at the envelope protocol specifier level 2. Sats as tokens (Efficient token meta/sub-protocols) 3. Bitmap (immutable block data sets) is legit foundation for innovation

chainEDGE is not an analytics tool; it is a platform that is designed to help make you money. The entire site is built for onchain traders, by onchain traders, and offers the signals and filterability you can’t find anywhere else.