@mkfilko

With great risk comes great reward, always hunting for the next 10x; I use both technical and fundamental analysis to do so.

Singapore
Joined July 2015
leki ⚔️ retweeted
I just published an easy-to-digest $BRUN infographic on my website lekiresearch.com/n/BRUN/BRUN… It covers 4 main sections which I think are central to understanding the $BRUN thesis. 1. Leadership 2. Financials 3. Commercial Map / Customers 4. Valuations I hope this helps everyone to have a better understanding on why this is the company I am willing to put majority of my portfolio in. Sentiment is horrible now but that is where the opportunity lies! I am mega long $BRUN.
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leki ⚔️ retweeted
$SILC Still going strong here. 40% in 3 months is quite the outperformance during this market sell-off.
New ticker reveal: The stock I have been looking into is $SILC. I'm not the first to write about it @PepInvestStocks and @WealthyReadings have written about it before, but I believe we're still early. Let's get into it. To start, they have a big catalyst coming: H2 2026 proof of concept at a Tier 1 hyperscaler. PoC conversion brings tens of thousands of FPGA inference cards at multi-thousand-dollar prices per unit, mix-shifting consolidated revenue toward higher-margin product and triggering gross margin recovery from depressed 30% toward 2022 peak of 34%. It hit both revenue ramp + margin inflection, and forward EV/EBITDA prints 6.6x, below every direct networking peer. Cash + working capital covers ~50% of market cap, so the bear case is bounded while you wait. Now that I have your attention, let me give you a brief rundown using my framework: AI enabler or beneficiary? Enabler. Three AI product lines built on different chips. First, FPGA inference cards using chips from Intel and AMD (FPGAs are programmable chips, meaning they can be reconfigured as AI models change every few months) targeting cloud datacenter inference workloads. Second, NVIDIA GPU edge appliances (Marbella line, using NVIDIA's L4 chip designed specifically for video analytics and AI at the edge of the network rather than the cloud) for telecom and enterprise customers. Third, Hailo-8 AI appliances (Madrid line, using Intel's low-power CPU plus Hailo's specialty AI chip, 26 trillion AI operations per second using only 2.5 watts of power) for factory robots, security cameras, smart retail systems, and automated sorting. Three customer engagements stacked: a May 5 proof of concept targeting hyperscalers at multi-thousand-dollar prices per unit, two AI compute customers already shipping product, plus a third inference product co-developed. Mgmt has explicitly guided "significant" AI inference revenue in 2027. ✅ Leadership. CEO Liron Eizenman (since July 2022) built the Edge Networking division that became Silicom's primary growth driver pre-2022. The business is back to executing: Q4 25 +17% YoY, Q1 26 +33% YoY (materially ahead of the 18% guide). Two consecutive beat-and-raise quarters. 4 design wins booked in 4 months versus 7 to 9 annual target, running well ahead of pace. ✅ Revenue Quality. $61.9M FY25 real revenue. 200+ global customers, 400+ active design wins, 75% North America. Design-win driven business, i.e. each customer takes 6 to 18 months to onboard and re-qualify, meaning once a customer chooses SILC it's expensive and slow for them to switch away. Edge AI line opens diversification away from traditional telco/cybersecurity/cloud customer base into manufacturing, retail, security, smart cities, and robotics end markets. ✅ Revenue Growth. FY26 guide $82 to 83M (+33%). Layered growth engines: design-win compounding, AI inference across all three product lines, post-quantum cryptography (3 wins to date, $3 to 4B market by 2030, new encryption standards needed to defend against quantum computers cracking today's encryption), white-label switching ($6 to 7B market by 2030), edge AI appliances for robotics/security/retail. CAGR framework points FY28 to $130 to 140M baseline; mgmt's long-term target is $150 to 160M + $3+ EPS. Margin leg: current gross margin 30% vs 2022 peak of 34.5%. Mgmt's $3 EPS target implicitly requires recovery to ~34% -> each 1% of gross margin recovery on a $135M base = +$1.35M of operating income.✅ Moat. 20+ years of proprietary hardware and software engineering. Proprietary cybersecurity packet-capture technology running at 400 Gigabits per second on FPGA chips. Nanosecond timing technology used in 5G networks and high-frequency trading (where microseconds equal money). Physical fail-safe circuits that keep networks running when security appliances crash: cybersecurity vendors specifically design products around these. Plus multi-silicon platform engineering: integrating chips from Intel + NVIDIA + Hailo + AMD into single appliances with industrial-grade certifications. The moat lives in niches that silicon vendors don't find economic to integrate at SILC's scale.✅ Validator stack: NVIDIA (L4 GPU partnership for the Marbella line), Hailo (AI partnership since July 2023 across multiple product lines), Tier 1 cyber security ($5M switch family + $2M Edge system), European secure communications ($3M post-quantum cryptography deal), major streaming provider ($25 to 30M five-year contract), global networking + SaaS leader (raised expected spend from $3 to 4M to $8 to 10M annual), two AI compute customers, hyperscaler-focused inference proof of concept. Asymmetry. EV ≈ $154M against $109M working capital + securities. Comp ladder: Bear $32 (Adtran/Ceragon at 1.5x EV/Sales), Base $71 (Radware at 2.5x — sister RAD Group), Bull $120 (RDWR premium at 3.5x), Moonshot $245 (specialty + AI capped at 5x — NOT silicon-designer multiples). Probability-weighted EV $85 vs spot $38 = 2.23x.✅✅ Forward EV/EBITDA: > Base ($135M FY28, 32% gross margin): 10.4x > Aspirational ($155M FY28, 34% gross margin = mgmt target): 6.6x > Moonshot ($250M, 35% gross margin, PoC converts): 2.9x Conviction Gap. Two discrete near-term catalysts: H2 2026 AI inference proof of concept outcome AND gross margin recovery trajectory. Q2 26 print (late July / early Aug) is the first checkpoint on both. Watch for the first quarter printing ≥31% gross margin imo, that's the structural inflection signal, more important than headline revenue beat. Single active analyst with stale $28 PT (April 2025) vs Morningstar quant fair value $96.38 = 3.4x dispersion. Thin coverage.✅ TL;DR. Forgotten Israeli RAD Group networking name printed a clean 33% Q1 inflection. Cash + working capital covers ~50% of market cap, the bear case is bounded. Three AI product lines across different chip vendors, FPGA cards for cloud datacenters, NVIDIA GPUs for telecom edge, Hailo specialty AI chips for industrial robotics/security/retail, which is genuine diversification away from telco-heavy historical mix. Real moat in 20+ years of proprietary networking and edge appliance engineering. Bull case has two legs: revenue ramp to mgmt's $155M target AND gross margin recovery to 2022 peak of 34%. Hit both and the multiple rerates from 10x to 6.6x EV/EBITDA, below every direct peer. Margin recovery is the leg that doesn't require a binary catalyst, mgmt's own EPS target is the receipt. Technicals: Chart looks like it is cooling down after a run from $18 to $50 recently. Coming down to test the 10EMA and 0.382 Fib level around $37 on lower volume. 50/200EMA golden cross occurring soon on weekly timeframe, indicating a bullish trend for the mid-long term. Still overall very bullish. ✅ I truly believe that despite the recent run up, we are still early. I won't be surprised if we are at $100 by EOY. Just my 2c, as always. - Leki the investing monkey 🐒
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I just published an easy-to-digest $BRUN infographic on my website lekiresearch.com/n/BRUN/BRUN… It covers 4 main sections which I think are central to understanding the $BRUN thesis. 1. Leadership 2. Financials 3. Commercial Map / Customers 4. Valuations I hope this helps everyone to have a better understanding on why this is the company I am willing to put majority of my portfolio in. Sentiment is horrible now but that is where the opportunity lies! I am mega long $BRUN.
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It’s free for everyone btw!
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$NBIS Getting tight here, holding the 8EMA and 21EMA on the weekly timeframe within a bullish pennant. This is what I call a powder keg set up. One catalyst and it goes.
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Took a 5x long on @liquidtrading Join me on Liquid and save 20% on fees with my referral link: liquid.trade/r/LEKI or my referral code: LEKI
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$NATGATE is one of the key beneficiaries of this @QuasarResearch
Morgan Stanley: After meeting a senior Washington telecom, FCC and export-control legal team, policy discussions suggest 3.2T transceivers would likely be where restrictions would be phased in, potentially as soon as October. Chinese transceivers could still be imported, even at 3.2T, as long as 65% of the BOM comes from US-based companies. Initial 3.2T volumes are not expected to ramp in volume until 2029. $AAOI $LITE $COHR $MTSI
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$SILC Still going strong here. 40% in 3 months is quite the outperformance during this market sell-off.
New ticker reveal: The stock I have been looking into is $SILC. I'm not the first to write about it @PepInvestStocks and @WealthyReadings have written about it before, but I believe we're still early. Let's get into it. To start, they have a big catalyst coming: H2 2026 proof of concept at a Tier 1 hyperscaler. PoC conversion brings tens of thousands of FPGA inference cards at multi-thousand-dollar prices per unit, mix-shifting consolidated revenue toward higher-margin product and triggering gross margin recovery from depressed 30% toward 2022 peak of 34%. It hit both revenue ramp + margin inflection, and forward EV/EBITDA prints 6.6x, below every direct networking peer. Cash + working capital covers ~50% of market cap, so the bear case is bounded while you wait. Now that I have your attention, let me give you a brief rundown using my framework: AI enabler or beneficiary? Enabler. Three AI product lines built on different chips. First, FPGA inference cards using chips from Intel and AMD (FPGAs are programmable chips, meaning they can be reconfigured as AI models change every few months) targeting cloud datacenter inference workloads. Second, NVIDIA GPU edge appliances (Marbella line, using NVIDIA's L4 chip designed specifically for video analytics and AI at the edge of the network rather than the cloud) for telecom and enterprise customers. Third, Hailo-8 AI appliances (Madrid line, using Intel's low-power CPU plus Hailo's specialty AI chip, 26 trillion AI operations per second using only 2.5 watts of power) for factory robots, security cameras, smart retail systems, and automated sorting. Three customer engagements stacked: a May 5 proof of concept targeting hyperscalers at multi-thousand-dollar prices per unit, two AI compute customers already shipping product, plus a third inference product co-developed. Mgmt has explicitly guided "significant" AI inference revenue in 2027. ✅ Leadership. CEO Liron Eizenman (since July 2022) built the Edge Networking division that became Silicom's primary growth driver pre-2022. The business is back to executing: Q4 25 +17% YoY, Q1 26 +33% YoY (materially ahead of the 18% guide). Two consecutive beat-and-raise quarters. 4 design wins booked in 4 months versus 7 to 9 annual target, running well ahead of pace. ✅ Revenue Quality. $61.9M FY25 real revenue. 200+ global customers, 400+ active design wins, 75% North America. Design-win driven business, i.e. each customer takes 6 to 18 months to onboard and re-qualify, meaning once a customer chooses SILC it's expensive and slow for them to switch away. Edge AI line opens diversification away from traditional telco/cybersecurity/cloud customer base into manufacturing, retail, security, smart cities, and robotics end markets. ✅ Revenue Growth. FY26 guide $82 to 83M (+33%). Layered growth engines: design-win compounding, AI inference across all three product lines, post-quantum cryptography (3 wins to date, $3 to 4B market by 2030, new encryption standards needed to defend against quantum computers cracking today's encryption), white-label switching ($6 to 7B market by 2030), edge AI appliances for robotics/security/retail. CAGR framework points FY28 to $130 to 140M baseline; mgmt's long-term target is $150 to 160M + $3+ EPS. Margin leg: current gross margin 30% vs 2022 peak of 34.5%. Mgmt's $3 EPS target implicitly requires recovery to ~34% -> each 1% of gross margin recovery on a $135M base = +$1.35M of operating income.✅ Moat. 20+ years of proprietary hardware and software engineering. Proprietary cybersecurity packet-capture technology running at 400 Gigabits per second on FPGA chips. Nanosecond timing technology used in 5G networks and high-frequency trading (where microseconds equal money). Physical fail-safe circuits that keep networks running when security appliances crash: cybersecurity vendors specifically design products around these. Plus multi-silicon platform engineering: integrating chips from Intel + NVIDIA + Hailo + AMD into single appliances with industrial-grade certifications. The moat lives in niches that silicon vendors don't find economic to integrate at SILC's scale.✅ Validator stack: NVIDIA (L4 GPU partnership for the Marbella line), Hailo (AI partnership since July 2023 across multiple product lines), Tier 1 cyber security ($5M switch family + $2M Edge system), European secure communications ($3M post-quantum cryptography deal), major streaming provider ($25 to 30M five-year contract), global networking + SaaS leader (raised expected spend from $3 to 4M to $8 to 10M annual), two AI compute customers, hyperscaler-focused inference proof of concept. Asymmetry. EV ≈ $154M against $109M working capital + securities. Comp ladder: Bear $32 (Adtran/Ceragon at 1.5x EV/Sales), Base $71 (Radware at 2.5x — sister RAD Group), Bull $120 (RDWR premium at 3.5x), Moonshot $245 (specialty + AI capped at 5x — NOT silicon-designer multiples). Probability-weighted EV $85 vs spot $38 = 2.23x.✅✅ Forward EV/EBITDA: > Base ($135M FY28, 32% gross margin): 10.4x > Aspirational ($155M FY28, 34% gross margin = mgmt target): 6.6x > Moonshot ($250M, 35% gross margin, PoC converts): 2.9x Conviction Gap. Two discrete near-term catalysts: H2 2026 AI inference proof of concept outcome AND gross margin recovery trajectory. Q2 26 print (late July / early Aug) is the first checkpoint on both. Watch for the first quarter printing ≥31% gross margin imo, that's the structural inflection signal, more important than headline revenue beat. Single active analyst with stale $28 PT (April 2025) vs Morningstar quant fair value $96.38 = 3.4x dispersion. Thin coverage.✅ TL;DR. Forgotten Israeli RAD Group networking name printed a clean 33% Q1 inflection. Cash + working capital covers ~50% of market cap, the bear case is bounded. Three AI product lines across different chip vendors, FPGA cards for cloud datacenters, NVIDIA GPUs for telecom edge, Hailo specialty AI chips for industrial robotics/security/retail, which is genuine diversification away from telco-heavy historical mix. Real moat in 20+ years of proprietary networking and edge appliance engineering. Bull case has two legs: revenue ramp to mgmt's $155M target AND gross margin recovery to 2022 peak of 34%. Hit both and the multiple rerates from 10x to 6.6x EV/EBITDA, below every direct peer. Margin recovery is the leg that doesn't require a binary catalyst, mgmt's own EPS target is the receipt. Technicals: Chart looks like it is cooling down after a run from $18 to $50 recently. Coming down to test the 10EMA and 0.382 Fib level around $37 on lower volume. 50/200EMA golden cross occurring soon on weekly timeframe, indicating a bullish trend for the mid-long term. Still overall very bullish. ✅ I truly believe that despite the recent run up, we are still early. I won't be surprised if we are at $100 by EOY. Just my 2c, as always. - Leki the investing monkey 🐒
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leki ⚔️ retweeted
If this happens, I suspect liquidity will return gradually. Also watching $IWM. After 1.5 months of non-stop bleeding, it bounced off the 200D MAs on the highest volume since July. Just early signs, but after sitting on my hands for two months, I'm starting to pay attention.
My gut feeling is that yields are topping. I started adding to high beta/momentum today.
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$BRUN We are going to zero guys.
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I have been watching $GME since the 2021 squeeze, and wow. It's undeniable that Ryan Cohen has turned $GME around. GameStop went from a $381 million net loss in 2021 to $418 million of net income, with SG&A down roughly 47%. Q2 operating income this year was the highest second quarter in the company's history, and collectibles grew 57% year over year to now make up 45.1% of net sales. Sales are still shrinking as the legacy games business fades, but what's left behind is a far more profitable business. What I respect most is the alignment. Cohen gets no salary, no cash bonus and no stock that vests simply over time. He even asked the board to pull his own performance award so leadership could stay focused on operations and the eBay deal, and just bought another $26.4M of shares with his own money. You rarely see that in public markets nowadays. The numbers (TTM): Revenue: $3.55B Operating cash flow: $705M Free cash flow: $688M P/E: ~16x P/S: ~3.5x Now strip out what they own. ~$12.4B market cap, minus ~$4.7B cash, ~$0.3B of bitcoin and a ~$4.5B eBay stake, plus ~$2.8B of convertible debt. You're paying roughly $5.7B for the operating business, about 9x their FY26 adjusted EBITDA guidance of more than $650 million. Say what you want about retail and how it's dying, but I'm always happy to see a business that supports hobbyists and kids thrive. Definitely a company to watch moving forward. You have my attention now, GameStop. Just my 2c. 🐒
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